{
  "total": 833,
  "topics": [
    {
      "id": 198118,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 69,
      "views": 0,
      "votes": 76
    },
    {
      "id": 198117,
      "title": "Looking for a Team Thread",
      "comment_count": 181,
      "views": 0,
      "votes": 26
    },
    {
      "id": 513612,
      "title": "my model accuracy drops on the competition test data . ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 513287,
      "title": "I'm getting zeros on both public and private score.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 496556,
      "title": "Does handling class imbalance helps ?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 463379,
      "title": "Source of this dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199692,
      "title": " 🌿 ☘️ 🍀 Deep Learning + Plant Disease Classification Research Papers - Compilation",
      "comment_count": 12,
      "views": 0,
      "votes": 35
    },
    {
      "id": 221957,
      "title": "1st Place Solution",
      "comment_count": 45,
      "views": 0,
      "votes": 295
    },
    {
      "id": 202223,
      "title": "Will the sample_submission.csv update during the actual private evaluation stage?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200308,
      "title": "Newbie Questions using Pretrained model with Internet Off?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220898,
      "title": "2nd Place - Summary of Approach",
      "comment_count": 31,
      "views": 0,
      "votes": 125
    },
    {
      "id": 217133,
      "title": "Don't forget to accumulate the Gradient",
      "comment_count": 12,
      "views": 0,
      "votes": 29
    },
    {
      "id": 217873,
      "title": "Batch size <= 32 (always)",
      "comment_count": 11,
      "views": 0,
      "votes": 11
    },
    {
      "id": 203111,
      "title": "Best single model score (post re-score)",
      "comment_count": 148,
      "views": 0,
      "votes": 67
    },
    {
      "id": 206724,
      "title": "Light augs to 0.906",
      "comment_count": 27,
      "views": 0,
      "votes": 114
    },
    {
      "id": 214819,
      "title": "something maybe useful",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 212586,
      "title": "Notebook plagiarism",
      "comment_count": 49,
      "views": 0,
      "votes": 97
    },
    {
      "id": 207450,
      "title": "[Tips] A few things for easy start",
      "comment_count": 64,
      "views": 0,
      "votes": 225
    },
    {
      "id": 199119,
      "title": "TensorFlow , TPU Notebooks in Casava Competition -- All in one place",
      "comment_count": 39,
      "views": 0,
      "votes": 80
    },
    {
      "id": 304146,
      "title": "File Conversion without any compression",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 202017,
      "title": "if you are not getting lb 0.901 and above, here is why",
      "comment_count": 102,
      "views": 0,
      "votes": 344
    },
    {
      "id": 298430,
      "title": "Computer vision best practises",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209136,
      "title": "Cross validation for beginners",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 200211,
      "title": "Vision Transformer Notebook for Beginners",
      "comment_count": 15,
      "views": 0,
      "votes": 20
    },
    {
      "id": 220268,
      "title": "PRETRAINED - PyTorch/Tensorflow NFNet F* dataset",
      "comment_count": 26,
      "views": 0,
      "votes": 39
    },
    {
      "id": 220651,
      "title": "short 25th place Solution & Comment & Code",
      "comment_count": 7,
      "views": 0,
      "votes": 30
    },
    {
      "id": 203083,
      "title": "Attention Learning in CV (!ViT)",
      "comment_count": 9,
      "views": 0,
      "votes": 24
    },
    {
      "id": 220788,
      "title": "10th place solution (23rd public)",
      "comment_count": 25,
      "views": 0,
      "votes": 71
    },
    {
      "id": 222105,
      "title": "What is Image Augmentation and why is it useful?",
      "comment_count": 3,
      "views": 0,
      "votes": -13
    },
    {
      "id": 220751,
      "title": "14th Place Solution & Code",
      "comment_count": 43,
      "views": 0,
      "votes": 86
    },
    {
      "id": 218269,
      "title": "A Pytorch template for beginners and advanced users",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 228831,
      "title": "TPU Stars!",
      "comment_count": 10,
      "views": 0,
      "votes": 21
    },
    {
      "id": 221150,
      "title": "3rd Place Solution",
      "comment_count": 62,
      "views": 0,
      "votes": 164
    },
    {
      "id": 221245,
      "title": "Cassava Trained Models Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220889,
      "title": "18th Place Solution",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 222035,
      "title": "About Cropnet (data leakage??)",
      "comment_count": 16,
      "views": 0,
      "votes": 26
    },
    {
      "id": 221739,
      "title": "30th solution summary",
      "comment_count": 10,
      "views": 0,
      "votes": 18
    },
    {
      "id": 220628,
      "title": "Private LB 36th place/Public LB 1138th place [Silver medal] solution",
      "comment_count": 7,
      "views": 0,
      "votes": 52
    },
    {
      "id": 221669,
      "title": "How to Approach Ensemble // First competition medal [Bronze/missed silver(0.8999)]",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220749,
      "title": "Private LB 34th / Public LB 30th solution",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220617,
      "title": "🔥🔥🔥The importance of a robust model🔥🔥🔥",
      "comment_count": 19,
      "views": 0,
      "votes": 14
    },
    {
      "id": 221249,
      "title": " 5th Place Solution Summary",
      "comment_count": 9,
      "views": 0,
      "votes": 39
    },
    {
      "id": 221651,
      "title": "LB Shake-up",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 221734,
      "title": "Kaggle Error on submission",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220590,
      "title": "This is how we missed gold medal",
      "comment_count": 16,
      "views": 0,
      "votes": 21
    },
    {
      "id": 220869,
      "title": "Top solutions in Cassava leaf Disease Classification 2021",
      "comment_count": 11,
      "views": 0,
      "votes": 43
    },
    {
      "id": 221113,
      "title": "16th place solution with detailed and readable code for beginner",
      "comment_count": 7,
      "views": 0,
      "votes": 34
    },
    {
      "id": 220602,
      "title": "Choosing Older Submissions Wins Ties on Leaderboard",
      "comment_count": 29,
      "views": 0,
      "votes": 43
    },
    {
      "id": 220599,
      "title": "Private 28th, Public 8th, Thank you all, my first medal!",
      "comment_count": 39,
      "views": 0,
      "votes": 100
    },
    {
      "id": 220621,
      "title": "Things that worked in this competition",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 220969,
      "title": "[Public 272nd / Private 37th] 1 week solution",
      "comment_count": 1,
      "views": 0,
      "votes": 30
    },
    {
      "id": 220841,
      "title": "simple (public 3rd and private 29th) place solution",
      "comment_count": 17,
      "views": 0,
      "votes": 37
    },
    {
      "id": 220632,
      "title": "45th Place - Silver Medal Solution",
      "comment_count": 22,
      "views": 0,
      "votes": 51
    },
    {
      "id": 221362,
      "title": "SnapMix with Tensorflow: 1st Implementation",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220540,
      "title": "Great place to learn for beginners",
      "comment_count": 13,
      "views": 0,
      "votes": 18
    },
    {
      "id": 220994,
      "title": "8th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 26
    },
    {
      "id": 220934,
      "title": "Diversity is all we need",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 220579,
      "title": "Small thank you note and GitHub with experiments",
      "comment_count": 12,
      "views": 0,
      "votes": 26
    },
    {
      "id": 220655,
      "title": "Private score 90.14 ( gold ) solution",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220473,
      "title": "Can't wait to see 1st team's solution ",
      "comment_count": 29,
      "views": 0,
      "votes": 32
    },
    {
      "id": 222007,
      "title": "Why Albumentations over imgaug?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220904,
      "title": "To Competition Host / Kaggle: Seeking Clarification on Competition Requirement",
      "comment_count": 9,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220542,
      "title": "The Usual memes thread : As competition is near to end",
      "comment_count": 14,
      "views": 0,
      "votes": 26
    },
    {
      "id": 221162,
      "title": "My write-up for this competition.",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220661,
      "title": "My First serious competition",
      "comment_count": 9,
      "views": 0,
      "votes": 15
    },
    {
      "id": 220682,
      "title": "[2/21 Update] Private 13th, Public 52th Place Solution. My first medal competition.",
      "comment_count": 11,
      "views": 0,
      "votes": 23
    },
    {
      "id": 220600,
      "title": "when host will reveal the 4th digit on leaderboard?",
      "comment_count": 8,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220625,
      "title": "First Kaggle Medal [Solo Gold]",
      "comment_count": 16,
      "views": 0,
      "votes": 21
    },
    {
      "id": 220608,
      "title": "The 1st team is monster!!! Waiting for sharing if possible.",
      "comment_count": 7,
      "views": 0,
      "votes": 22
    },
    {
      "id": 220457,
      "title": "Good Luck kagglers!",
      "comment_count": 22,
      "views": 0,
      "votes": 32
    },
    {
      "id": 221556,
      "title": "Deciding number of Trainable parameters 😬",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220735,
      "title": "Private 7th |  Public 71th  Solution",
      "comment_count": 11,
      "views": 0,
      "votes": 17
    },
    {
      "id": 221116,
      "title": "25th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 220905,
      "title": "A noisy label tolerant loss function that helps me a lot",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 220615,
      "title": "Congratulations to the second team (+690 Big shake up)",
      "comment_count": 15,
      "views": 0,
      "votes": 13
    },
    {
      "id": 221074,
      "title": "Looking back at my approach 1284 pos [0.8952 private leaderboard and 0.8950 public leaderboard]",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 220656,
      "title": "What you guys learned from this compete?",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 218907,
      "title": "Introducing new SOTA model NFNets",
      "comment_count": 26,
      "views": 0,
      "votes": 74
    },
    {
      "id": 220584,
      "title": "Did anyone try non-Deep-Learning approaches?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220899,
      "title": "I can't find myself on the leaderboard",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220614,
      "title": "[TTA] Single Model Inference - Public lb 0.905",
      "comment_count": 12,
      "views": 0,
      "votes": 14
    },
    {
      "id": 220640,
      "title": "Private 606th / Public 34th Solution",
      "comment_count": 8,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220711,
      "title": "I forgot to take a silver/gold medal thread",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220813,
      "title": "35th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 220752,
      "title": "123rd place (Silver) solution",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220607,
      "title": "[0.901 PB solution] From gold to abyss or history on UnLucky leaf",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220705,
      "title": "Utter Annihilation!!!!!",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220672,
      "title": "Private LB 105th / Public LB 970th solution and first medal 🥳",
      "comment_count": 12,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220593,
      "title": "Public 13th / Private 184th Solution",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 220722,
      "title": "Should've Trusted our CV",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220609,
      "title": "First time Competition, 75th place solution silver region",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 219371,
      "title": "NFNet-F* models released in pytorch-image-models",
      "comment_count": 30,
      "views": 0,
      "votes": 34
    },
    {
      "id": 220648,
      "title": "#28th place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220586,
      "title": "[?th] The lost solution",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 220900,
      "title": "40th place solution(4 model ensemble)",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 220694,
      "title": "Private set class distribution",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 220627,
      "title": "Thanks Everyone!",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 220630,
      "title": "Yippeee!!! First silver (tentatively)!!!",
      "comment_count": 10,
      "views": 0,
      "votes": 11
    },
    {
      "id": 219153,
      "title": "Can't see kernel version after committing.",
      "comment_count": 16,
      "views": 0,
      "votes": 22
    },
    {
      "id": 220588,
      "title": "[220th Place] Solution description",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220737,
      "title": "Silver medal solution (Public 10th)",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220594,
      "title": "Lessons Learned!",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 220727,
      "title": "Many thanks for making me broaden my knowledge !",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 219530,
      "title": "A real deadline!",
      "comment_count": 10,
      "views": 0,
      "votes": 26
    },
    {
      "id": 220762,
      "title": "My Noisy label countermeasure",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220476,
      "title": "Best thing I learned from this competition",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 220747,
      "title": "Road from 1058th public to 158th private solution. 1st medal",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 220879,
      "title": "375th place private LB (278th place public)",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220647,
      "title": "Small margins",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220592,
      "title": "What A Shake Up",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 220643,
      "title": "Help me about previous competitions.",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 220875,
      "title": "Top %8 solution - (with unselected top %4)",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220742,
      "title": "78th place solution (silver medal)",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220677,
      "title": "I could've made it into silver",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 219621,
      "title": "Cleaner Dataset = worse performance?",
      "comment_count": 18,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220244,
      "title": "TPU Stars: Call for Nominations!",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 220759,
      "title": "Private LB 101 / Public LB was 433 (+332 ) - Silver solution ",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220734,
      "title": "Takeaway from this (my) first competition!!",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220587,
      "title": "Nice shakeup :)",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220890,
      "title": "Great job,  Makerere AI Lab & Kaggle!!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220612,
      "title": "Solution Arhitecture Pipeline for Bronze Medal ",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220653,
      "title": "Takeaways from the competition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220732,
      "title": "Is the leaderboard finalized?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220726,
      "title": "Beginner's conclusion and questions",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220624,
      "title": "#77 LB - some low-tech ideas",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220864,
      "title": "Medals awarded + Changes in leaderboard",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220714,
      "title": "public 87th -> private 668th very bad solution for remembering sad memory...",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220626,
      "title": "What should I do after the competition end?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220673,
      "title": "How to deal with Post Processing",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220002,
      "title": "Trust CV ? +0.001 score importance between CV and LB",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 218984,
      "title": "Any tips on getting .90+ ?",
      "comment_count": 16,
      "views": 0,
      "votes": 17
    },
    {
      "id": 220660,
      "title": "My learnings so far - After the competition",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220591,
      "title": "How can I change my selection? ",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 220004,
      "title": "Why are the number of teams still increasing?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 217014,
      "title": "Help - Memory Leak related to tf data",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220104,
      "title": "Noob question on ensemble model",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220501,
      "title": "Can you do Commit with GPU now ??? All I can see is just 'Committing...' !!",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 220324,
      "title": "Using Pytorch with TPU + timm module, import error issue",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 220524,
      "title": "Learning from this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220638,
      "title": "Post your non selected 90s score",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 220610,
      "title": "Strange Score!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220684,
      "title": "When will we able to see the test set?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 219882,
      "title": "Model Ensemble",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 220743,
      "title": "After the competition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 220071,
      "title": "CV calculation for different models",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220197,
      "title": "Code Base Sharing",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 220575,
      "title": "What happens if notebook is still running at competition close?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 220792,
      "title": "When the medals will the competitors get the medals?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220503,
      "title": "Query regarding run time/total execution time limit of 9hrs",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 219588,
      "title": "Image Resolution and Accuracy",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 220861,
      "title": "Submission CSV Not Found: The code bug or cheating prevention measure?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 220544,
      "title": "How long it takes to know final rank?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220838,
      "title": "Leaderboard updated with 4th decimal place",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220633,
      "title": "So many 90.1 90.2 89 9,how i check unselected stand ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 219993,
      "title": "Are successful submissions \"confirmed?\"",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 220606,
      "title": "What contributed to the improvement of the Private LB score?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 220589,
      "title": "The more adjust according to plb, more risk to be overfit",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 220583,
      "title": "Into the Unknown...",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 219344,
      "title": "Add this to your TF pipeline to run 6x faster",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 217967,
      "title": "Larger models, lower score?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 219758,
      "title": "Is there a standard for determining the ensemble ratio?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 220103,
      "title": "difference between CV and LB is too high",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218205,
      "title": "Try Online Uncertainty Sample Mining - OUSMLoss (pytorch Implementation)",
      "comment_count": 29,
      "views": 0,
      "votes": 25
    },
    {
      "id": 218870,
      "title": "Beginner having problems completing training",
      "comment_count": 16,
      "views": 0,
      "votes": 6
    },
    {
      "id": 219427,
      "title": "can not submit the notebook",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 218177,
      "title": "Is the submission time of kaggle dynamic? ",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 218862,
      "title": "Why BiTemperedLogisticLoss isn't working?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 217602,
      "title": "Is CutMix really useful?",
      "comment_count": 16,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215607,
      "title": "Winner's Tips + 0.9 model targets",
      "comment_count": 38,
      "views": 0,
      "votes": 42
    },
    {
      "id": 219508,
      "title": "Checking for overfitting and monitoring learning rates",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217328,
      "title": "A shake-up estimation",
      "comment_count": 11,
      "views": 0,
      "votes": 38
    },
    {
      "id": 215954,
      "title": "Why retraining the model with pre-trained weights stuck at some level ?",
      "comment_count": 26,
      "views": 0,
      "votes": 5
    },
    {
      "id": 217716,
      "title": "Noisy test, train and Public LB: what are you doing to prevent a shakeup?",
      "comment_count": 17,
      "views": 0,
      "votes": 8
    },
    {
      "id": 217295,
      "title": "New Design of ResNet by DeepMind",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 216902,
      "title": "Wrong labels but better CV",
      "comment_count": 27,
      "views": 0,
      "votes": 22
    },
    {
      "id": 218560,
      "title": "Learn with 256 image sizes",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 213167,
      "title": "[Share] New pretrained Weights For DeiT",
      "comment_count": 22,
      "views": 0,
      "votes": 35
    },
    {
      "id": 218375,
      "title": "Eval Data Percentage",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218868,
      "title": "kernel runtime",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 218867,
      "title": "I am getting \"Notebook exceeded allowed compute\" error on submission.",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 218646,
      "title": "Roots Images",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 218936,
      "title": "Please help Submission csv not found error?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 219091,
      "title": "Regarding Submission Time",
      "comment_count": 1,
      "views": 0,
      "votes": -3
    },
    {
      "id": 218860,
      "title": "ML Algorithms",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 217003,
      "title": "Present of Noisy Dataset and their ids",
      "comment_count": 22,
      "views": 0,
      "votes": 28
    },
    {
      "id": 211920,
      "title": "[How to] FineTuning model",
      "comment_count": 20,
      "views": 0,
      "votes": 46
    },
    {
      "id": 218342,
      "title": "CosineAnnealingWarmRestarts. Never reach the top accuracy again.",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 213278,
      "title": "How to weight the model，confusion matrix help me get 0.906",
      "comment_count": 15,
      "views": 0,
      "votes": 48
    },
    {
      "id": 218788,
      "title": "Why could I be getting 0.048????",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215359,
      "title": "Discussion on what works and what does not",
      "comment_count": 12,
      "views": 0,
      "votes": 21
    },
    {
      "id": 217492,
      "title": "What shapes of square images are you resizing to?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 218922,
      "title": "Help in inference - 'submission not found' for ViT based model",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 216350,
      "title": "Please , Pin a FAQ topic in discussion",
      "comment_count": 2,
      "views": 0,
      "votes": 22
    },
    {
      "id": 217766,
      "title": "Do we need to get reproducible results?",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 205491,
      "title": "7 things that did not worked so far",
      "comment_count": 27,
      "views": 0,
      "votes": 80
    },
    {
      "id": 218304,
      "title": "why showing Submission CSV not Found instead of having csv file?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 217235,
      "title": "2019 data help?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 218064,
      "title": "How do you guys do 5-fold CV on kaggle notebooks?",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 214959,
      "title": "random seeding and ensemble tricks that every kagglers should know",
      "comment_count": 27,
      "views": 0,
      "votes": 144
    },
    {
      "id": 213615,
      "title": "Implementation Of Snapmix for Tensorflow? ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 216628,
      "title": "I may be Wrong so please pardon ..Any thing Fishy about score positions in Gold?",
      "comment_count": 30,
      "views": 0,
      "votes": 19
    },
    {
      "id": 217288,
      "title": "Leaderboard, scores, thoughts",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 217129,
      "title": "Cutmix & Fmix reduce the accuracy??!",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 212091,
      "title": "Things to consider this late (mostly for beginners like me)",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 217601,
      "title": "Adding layers after pretrained model",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217150,
      "title": "Combination of cutmix and other augmentations",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 216653,
      "title": "Full Case study of cassava leaf challenge[feedback needed]",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215863,
      "title": "My 2 Month Cassava Improvement Journey",
      "comment_count": 6,
      "views": 0,
      "votes": 37
    },
    {
      "id": 217474,
      "title": "Distribution of test set labels",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 217030,
      "title": "Which your best parameters of Bi-Tempered Logistic?",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 217219,
      "title": "Are sample_submission.csv is wrong?",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 217300,
      "title": "Anyone tried MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessment?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 217466,
      "title": "Leaf detection using OpenCV",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 217853,
      "title": "Question about Inference",
      "comment_count": 3,
      "views": 0,
      "votes": -2
    },
    {
      "id": 217754,
      "title": "one image，two disease？",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 213100,
      "title": "How do I submit the nb for public score ?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 217302,
      "title": "Getting submission scoring error even though the format of my output seems to be correct.",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214826,
      "title": "Can we down sample the dominant class named Cassava Mosaic Disease ?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216826,
      "title": "Is distillation learning  useful with this noisy data?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 216241,
      "title": "Is the sample test image class 2 or class 4?",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 214559,
      "title": "Does TTA really work?",
      "comment_count": 27,
      "views": 0,
      "votes": 31
    },
    {
      "id": 216247,
      "title": "Which are the best loss functions to use other than cross entropy loss ?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 217163,
      "title": "Pre-training On Fractals - PyTorch Code",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214225,
      "title": "CutMix and MixUp help?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 217340,
      "title": "Microsoft Vision Model ResNet50 - PyTorch Code",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 215857,
      "title": "Is it too late to join the competition?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 216985,
      "title": "1st place solution for Cassava-2019",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216995,
      "title": "Is the label in sample_submission.csv correct?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216315,
      "title": "Why is it stipulated that the pre training model can be used, but not the Internet?",
      "comment_count": 15,
      "views": 0,
      "votes": 1
    },
    {
      "id": 216972,
      "title": "Submission taking 7hours + ",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 216572,
      "title": "A little bit about augmentations",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216871,
      "title": "Unable to Submit Successfully",
      "comment_count": 5,
      "views": 0,
      "votes": -1
    },
    {
      "id": 216017,
      "title": "What do you think the degree of shake-up will be？",
      "comment_count": 10,
      "views": 0,
      "votes": 11
    },
    {
      "id": 216937,
      "title": "fraud on kaggle",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 216816,
      "title": "My single effb3 can get 0.901, but seresnext50_32x4d is much lower than it, why",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216227,
      "title": "Do I need to do scaling? 正規化の必要性",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 217222,
      "title": "Unable to load test images using ImageDataGeneator",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 217193,
      "title": "How do you estimate your models?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 217188,
      "title": "How many used 2019 data and are top in LB ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 215901,
      "title": "Augmentations ",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 216542,
      "title": "How to submit the csv prediction file?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212275,
      "title": "Model Choices in TensorFlow 2.xxx",
      "comment_count": 9,
      "views": 0,
      "votes": 16
    },
    {
      "id": 215490,
      "title": "For rising in LB - Old Competition Cassava Training Data in TF format",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 217088,
      "title": "Batch Size in TPU",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 217092,
      "title": "Use this efficientnet library Dataset If beginners facing difficulty in submission without internet",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 217024,
      "title": "Can someone please teach me how to submit notebook using TTA in Tensorflow?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 216676,
      "title": "Merged old and new dataset with extraimages (in image and TFrecord format)",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 216980,
      "title": "Error: 'Your notebook tried to allocate more memory than is available. It has restarted.'",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 216278,
      "title": "How to use pre-trained model on kaggle?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 216044,
      "title": "Bi-Tempered Logistic Loss Vs Categorical Cross Entropy with Label Smoothening",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 216154,
      "title": "Problems with learning.",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215811,
      "title": "Tensorflow vs PyTorch",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216461,
      "title": "Training and Inference notebooks",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216445,
      "title": "Anyone tried add CBAM  in Resnext？",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 208402,
      "title": "Important points to boost the LB score",
      "comment_count": 36,
      "views": 0,
      "votes": 48
    },
    {
      "id": 215851,
      "title": "Cannot get an accuracy grater than 65%",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 216245,
      "title": "Using Observations (Inferences) extracted through EDA",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215874,
      "title": "Can we believe in early stopping? especially for this competition",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216292,
      "title": "output file is not shown when i save the notebook",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 215951,
      "title": "helpful tip for inference ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212197,
      "title": "Analyzing the model's errors by confusion matrix",
      "comment_count": 14,
      "views": 0,
      "votes": 24
    },
    {
      "id": 215870,
      "title": "Help regarding inference time using efficientnet library (keras)",
      "comment_count": 20,
      "views": 0,
      "votes": 0
    },
    {
      "id": 215940,
      "title": "Yolo Detector",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 216384,
      "title": "RuntimeError: Unable to create link (name already exists)",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 215911,
      "title": "BiTemperedLogisticLoss Usage in any model",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 216262,
      "title": "Looking for team up??",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 215597,
      "title": "Tokens-to-Token ViT",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214799,
      "title": "How do you set up the network head?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 215867,
      "title": "memory allocation error is occurring, need help! ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 214592,
      "title": "The performance of TaylorCrossEntropyLossn under Adam and SGD is quit different",
      "comment_count": 14,
      "views": 0,
      "votes": 11
    },
    {
      "id": 215492,
      "title": "Weird accuracy of 0.139",
      "comment_count": 19,
      "views": 0,
      "votes": null
    },
    {
      "id": 211853,
      "title": "Bit worried about the usefulness of this competition",
      "comment_count": 26,
      "views": 0,
      "votes": 70
    },
    {
      "id": 215479,
      "title": "Writing a custom learning rate scheduler in TF",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 212623,
      "title": "What I am doing wrong?",
      "comment_count": 15,
      "views": 0,
      "votes": 10
    },
    {
      "id": 212743,
      "title": "How to train VIT well?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 215544,
      "title": "My vision transformer submission raises a timeout",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215962,
      "title": "How to solve submission.csv not found error",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 215698,
      "title": "How well does Cutout work for you?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 203594,
      "title": "Sharing some improvements and experiments",
      "comment_count": 71,
      "views": 0,
      "votes": 180
    },
    {
      "id": 215486,
      "title": "Slow training on kaggle kernel ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 214538,
      "title": "Proper way to apply Albumentations",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 215566,
      "title": "There are two questions for experts to answer ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 213827,
      "title": "How to get 0.907？",
      "comment_count": 32,
      "views": 0,
      "votes": 6
    },
    {
      "id": 214291,
      "title": "How to build a reliable local cv?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 212411,
      "title": "Any high solo model performance?",
      "comment_count": 41,
      "views": 0,
      "votes": 14
    },
    {
      "id": 215070,
      "title": "Looking for a  team merge",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 214018,
      "title": "Model Overfitting",
      "comment_count": 15,
      "views": 0,
      "votes": 5
    },
    {
      "id": 214986,
      "title": "Different  Results when training in Kaggle GPu vs My Laptop",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 214634,
      "title": "submission taking too much time for showing public score, need help!",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 212347,
      "title": "Tips : Define an epoch threshold when applying Custom training stuffs",
      "comment_count": 20,
      "views": 0,
      "votes": 69
    },
    {
      "id": 211967,
      "title": "Pytorch vs Tensorflow",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214505,
      "title": "Vision Transformer Submission Time too Long",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215069,
      "title": "Model overfitting",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201025,
      "title": "How to keep track of Experiments?",
      "comment_count": 30,
      "views": 0,
      "votes": 24
    },
    {
      "id": 213530,
      "title": "Which is better , lower val_loss or higher val_accuracy ?",
      "comment_count": 20,
      "views": 0,
      "votes": 9
    },
    {
      "id": 215278,
      "title": "ProcessExitedException: process 7 terminated with signal SIGKILL",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 214325,
      "title": "What is wrong with this ? ",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 215317,
      "title": "Pytorch TPU Model Inference in GPU got error.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 213183,
      "title": "VGG is back. RepVGG ",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 214898,
      "title": "upload GCP JupyterLab data to Kaggle Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214449,
      "title": "EfficientNet-PyTorch and pytorchcv.model_provider dataset (install locally).",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214489,
      "title": "Merging 2019 competitions dataset by excluding label 3 (majority records)",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214411,
      "title": "NaN while training with TPUs",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214053,
      "title": "How to train your model when you cannot trust on the annotations?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214094,
      "title": "Is it good to tune BatchNormalization layers also while fine tuning any model?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 214529,
      "title": "Public/private test split: do we know it?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214216,
      "title": "EfficientNet",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214402,
      "title": "5 TTA increases local CV but decreases LB!",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 214946,
      "title": "Why two similar code take completely  different run time？",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 214739,
      "title": "CV vs LB. Your best score",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214747,
      "title": "how to read tfrecord",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 214422,
      "title": "Loss Function",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214236,
      "title": "Test Time Augmentations",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 214310,
      "title": "Gap between CV and LB.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209782,
      "title": "Taylor Cross Entropy Loss",
      "comment_count": 10,
      "views": 0,
      "votes": 26
    },
    {
      "id": 213439,
      "title": "TPU training broken?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214600,
      "title": "Inference time on private leaderboard",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 214290,
      "title": "Whether to turn GPU on in my notebook when submitting if I save and run with GPU on?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 214289,
      "title": "How to download and upload weights, Need Help !",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 212493,
      "title": "How to improve the accuracy of the model ? any other suggestion ?",
      "comment_count": 18,
      "views": 0,
      "votes": 8
    },
    {
      "id": 214377,
      "title": "Model is not training need help!",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 213735,
      "title": "Tensorflow's implementation of ResNet vs Pytorch",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 214141,
      "title": "Why my kernel restart when I train with TPU?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211278,
      "title": "Submission Scoreing Error",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 214004,
      "title": "ValueError: With n_samples=0, test_size=0.1 and train_size=None, the resulting train set will be empty. Adjust any of the aforementioned parameters.",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205497,
      "title": "Submission error",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 213779,
      "title": "Recall loss and CCE loss",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 210557,
      "title": "Cleanlab: The standard package for machine learning with noisy labels and finding mislabeled data in Python.",
      "comment_count": 17,
      "views": 0,
      "votes": 36
    },
    {
      "id": 207615,
      "title": "A quick way to do TTA with pytorch and how I do it!",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 213177,
      "title": "Submission private dataset run time",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 213019,
      "title": "A notebook that can be run on kaggle and Google Colab(On Google Colab you can use TPU for free!)",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 213274,
      "title": "On hyper-parameter optimization ",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 213545,
      "title": "Help! Efficientnet doesn't train properly if tensor is converted to float.",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 214069,
      "title": "Some of the problems that came up when I submitted it",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 213780,
      "title": "Model Essemble",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214017,
      "title": "Original  Rank",
      "comment_count": 1,
      "views": 0,
      "votes": -5
    },
    {
      "id": 211475,
      "title": "Combining Different Loss Functions",
      "comment_count": 7,
      "views": 0,
      "votes": 31
    },
    {
      "id": 210921,
      "title": "People say no TTA for this competition but are people doing VTA?",
      "comment_count": 16,
      "views": 0,
      "votes": 4
    },
    {
      "id": 213588,
      "title": "how can i get test images?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 213166,
      "title": "Why Weights and Biases(experiment tracking) is useful from Kaggle's perspective?",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 213125,
      "title": "Tensorflow 2.4 on GPU not working. How to switch CUDA version?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205405,
      "title": "Does it useful to enchance   images by change the hue and saturation",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 213006,
      "title": "can't submit prediction time exceeded error",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 212455,
      "title": "Why I am getting 0.139 accuracy for my submission even when I got 0.72 accuracy on my validation set on my local machine?",
      "comment_count": 23,
      "views": 0,
      "votes": 1
    },
    {
      "id": 213027,
      "title": "Any lightweight solutions?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212582,
      "title": "New optimizer: ADAMP (ICLR 2021)",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 213733,
      "title": "Efficient Net B3 and keras",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 207780,
      "title": "New approach for ... Cassava Leaf Disease Classification?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 211201,
      "title": "Deit Model CV - 0.94 LB - 0.889",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 213313,
      "title": "Submission CSV Not Found",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 213453,
      "title": "OOM issues using inception_v3 with 299x299 RGB preprocessed images",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209842,
      "title": "Contrastive Learning is working?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212974,
      "title": "Random predict good for public LB? or Big shake may happen?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 213553,
      "title": "filters on images",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 198744,
      "title": "Stratified TFRecords datasets",
      "comment_count": 21,
      "views": 0,
      "votes": 56
    },
    {
      "id": 208498,
      "title": "[Tips]  Various Loss Functions for Pytorch",
      "comment_count": 8,
      "views": 0,
      "votes": 42
    },
    {
      "id": 212685,
      "title": "looking for a team",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 211664,
      "title": "Early-Learning Regularization Prevents Memorization of Noisy Labels",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 212060,
      "title": "Try Mixup Without Hesitation",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 212991,
      "title": "Need some help about out of memory",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 212533,
      "title": "Adding data from previous Cassava competition",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 212683,
      "title": "Paper: Deep Learning is Robust to Massive Label Noise",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210918,
      "title": "Which loss function is better?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 201570,
      "title": "Basic question: how to use pretrained models?",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 212957,
      "title": "My Test folder just contain 1 image",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 212601,
      "title": "EfficientNet Noisy Student Weights for PyTorch [For non timm users]",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 212142,
      "title": "Guide to Denoising Labels",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 212830,
      "title": "Test-time augmentation (or TTA)",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212182,
      "title": "A sample way to solve the balance problem",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 212852,
      "title": "score Resnet 50",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211665,
      "title": "Is there a way to reduce the amount of time required for submit the results? ",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212967,
      "title": "Noisy Data (Possible mislabelings)",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211599,
      "title": "keep getting Submission Scoring Error :-( ",
      "comment_count": 13,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212506,
      "title": "How Does Mixup Help With Robustness and Generalization?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 209773,
      "title": "Bi-Tempered Loss [Tensorflow 2.0]",
      "comment_count": 30,
      "views": 0,
      "votes": 31
    },
    {
      "id": 212050,
      "title": "Cassava Disease Classification: InClass Prediction Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 211998,
      "title": "How to choose dataset version",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212508,
      "title": "Reducing training times using npy dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 206454,
      "title": "Supervised Contrastive Learning",
      "comment_count": 8,
      "views": 0,
      "votes": 40
    },
    {
      "id": 212864,
      "title": "Why the same code some times runs 4 times slower?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 212187,
      "title": "Thoughts on why you should expect noisy data on similar datasets",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 212543,
      "title": "iCassava 2019 Fine-Grained Visual Categorization-Ernest Mwebaze, Timnit Gebru, Andrea Frome Google Research",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 212373,
      "title": "test time augmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 211725,
      "title": "How can I split the images in the 'train_images' folder to separate folders for each class? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211686,
      "title": "Comparison of Using ImageNet Normalization and Dataset Normalization",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 212777,
      "title": "Submission Scoring Error",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 211532,
      "title": "3 tips to optimize CV and LB relation",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 210293,
      "title": "DeiT training notebook using TPU for Pytorch (with RandAugment)",
      "comment_count": 8,
      "views": 0,
      "votes": 28
    },
    {
      "id": 212418,
      "title": "Is there only one image in test data? Or there is ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 211568,
      "title": "[How to] Train student model for Learning with Noisy Labels(TPU)",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 212487,
      "title": "How to add an API to kaggle notebook?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 212070,
      "title": "Optimizer analyses",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 203103,
      "title": "[Tips] How to use Label Smoothing in Pytorch",
      "comment_count": 13,
      "views": 0,
      "votes": 56
    },
    {
      "id": 212277,
      "title": "Undersampling .csv dataframe",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 211711,
      "title": "TFRecords tensorflow Features",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201473,
      "title": "Submission is taking a long time to process",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 212363,
      "title": "About submitting",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 212038,
      "title": "Four of the most common cassava diseases",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 209318,
      "title": "Is this competition a lottery?",
      "comment_count": 36,
      "views": 0,
      "votes": 65
    },
    {
      "id": 206825,
      "title": "KFold vs StratifiedKFold ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 211311,
      "title": "Are you facing problem in submission? output file not found?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 202206,
      "title": "Why we have a noisy dataset (CutMix vs MixUp)",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 212005,
      "title": "Noise from ImageDataGenerator",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 211919,
      "title": "lots of black points after image augmentation",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 210226,
      "title": "SAM Optimizer",
      "comment_count": 9,
      "views": 0,
      "votes": 20
    },
    {
      "id": 208239,
      "title": "Symmetric Cross Entropy Loss (Pytorch)",
      "comment_count": 13,
      "views": 0,
      "votes": 57
    },
    {
      "id": 211343,
      "title": "Cassava Leaf Disease Project with Tensorflow. \"Motivation\"",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 210299,
      "title": "How to do predictions faster with Tensorflow?",
      "comment_count": 17,
      "views": 0,
      "votes": 2
    },
    {
      "id": 211888,
      "title": "What can we infer from these graphs?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210889,
      "title": "PYTORCH TPU Starter : Try Pytorch XLA if you are using Pytorch for this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 212092,
      "title": "How to Use tfrec in Pytorch?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211323,
      "title": "Submission csv not found",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 212058,
      "title": "ValueError: None values not supported. Error on TPU, working fine on GPU",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 211173,
      "title": "Is it possible for us to implement distillation learning by ourselves? ",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 209065,
      "title": "labelsmooth and cutmix",
      "comment_count": 20,
      "views": 0,
      "votes": 23
    },
    {
      "id": 211281,
      "title": "Trouble getting NoisyStudent weights for EfficientNet ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211902,
      "title": "How to utilize TPU with PytorchLightning?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210537,
      "title": "PyTorch TPU/XLA starter: training, inference, submission",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 200722,
      "title": "Cassava Dataset V2",
      "comment_count": 31,
      "views": 0,
      "votes": 54
    },
    {
      "id": 198146,
      "title": "Research Papers related to this competition ",
      "comment_count": 8,
      "views": 0,
      "votes": 79
    },
    {
      "id": 206403,
      "title": "Difference between val accuracy and submission score",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211263,
      "title": "Calculating Mean and Std for dataset",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 211058,
      "title": " TPU + kaggle dataset: Error executing an HTTP request: HTTP response code 403 with body",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201471,
      "title": "Noise in train and private test sets",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 210737,
      "title": "Thought about the cluttered background of training images",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 210723,
      "title": "Searching for duplicated images with DBSCAN",
      "comment_count": 0,
      "views": 0,
      "votes": 12
    },
    {
      "id": 211871,
      "title": "OOM Pretrained Models",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 199786,
      "title": "Pseudo-Labelling Improved My LB",
      "comment_count": 30,
      "views": 0,
      "votes": 21
    },
    {
      "id": 211020,
      "title": "Should ‘HEALTHY’ become a certain class？",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210973,
      "title": "output image of ImageDataGenerator",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210926,
      "title": "How to implement snapmix?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 211151,
      "title": "Error when try to load an model [Tensorflow]",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205210,
      "title": "An answer to \"Where is the test set? Test set 1 image?\" etc.",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 210398,
      "title": "Weighted Label Smoothing",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 208445,
      "title": "PENCIL:  Probabilistic End-to-end Noise Correction for Learning with Noisy Labels",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 205630,
      "title": "How I got LB 0.901 in a simple way.",
      "comment_count": 46,
      "views": 0,
      "votes": 102
    },
    {
      "id": 211269,
      "title": "Code for tf.keras.utils.Sequence Prediction.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 211270,
      "title": "Tip to speed up inference in Tensorflow",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209093,
      "title": "Getting TypeError: when using label smoothing in Categorical Cross entropy",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 210508,
      "title": "After training for 15 epochs, it took about 9 hours. The training accuracy is 99%. Is it normal?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 211125,
      "title": "ValueError: You are trying to load a weight file containing 4 layers into a model with 257 layers",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 210890,
      "title": "TPUs in a competition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210146,
      "title": "Include Top ? True of False? What is Include top?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 202837,
      "title": "What about the noise in the private test data???",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198131,
      "title": "Previous Cassava Leaf Disease Classification",
      "comment_count": 24,
      "views": 0,
      "votes": 119
    },
    {
      "id": 199276,
      "title": "[place holder] let's try something new ... vision transformer",
      "comment_count": 41,
      "views": 0,
      "votes": 112
    },
    {
      "id": 210783,
      "title": "How to download weights if internet access is disabled ",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 209786,
      "title": "TF version difference between TPU and GPU",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 208324,
      "title": "[TF.Keras] Implementation of Symmetric Cross Entropy Loss",
      "comment_count": 3,
      "views": 0,
      "votes": 17
    },
    {
      "id": 210962,
      "title": "Sharing some information about those diseases and symptoms",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 210638,
      "title": "How to add dropout and dense layer in PyTorch Pretrained model?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210850,
      "title": "Building Reproducible Models.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210836,
      "title": "Creating a custom loss function.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 199539,
      "title": "Can we use old competition data? (probably)",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 209378,
      "title": "AutoDropout: Learning Dropout Patterns to Regularize Deep Networks",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 209814,
      "title": "Data augmentation by PyTorch",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 209420,
      "title": "Submission CSV Not Found",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 210153,
      "title": "[Experimental] Different Learning Rate Schedulers",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 202857,
      "title": "Pretrained Model weights for inference [Keras]",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 209022,
      "title": "Why my test ensemble is too low!!!",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210304,
      "title": "Quality of Test Set",
      "comment_count": 3,
      "views": 0,
      "votes": -3
    },
    {
      "id": 208887,
      "title": "AutoAugment - Learning augmentation policy from data",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 210413,
      "title": "Model Plotting",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 210364,
      "title": "\"Submission Scoring Error\"",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 210198,
      "title": "Relabelling and 2020-2019 Compound dataset",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 208366,
      "title": "Training vision transformers with distillation",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 207290,
      "title": "New Optimizers?",
      "comment_count": 22,
      "views": 0,
      "votes": 16
    },
    {
      "id": 199372,
      "title": "Small (but crucial) tip for beginners regarding using separate notebooks for training and inference",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210212,
      "title": "Error using TPU",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 209493,
      "title": "Should we expect a clean dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 203271,
      "title": "Focal Cosine Loss (Pytorch)",
      "comment_count": 18,
      "views": 0,
      "votes": 103
    },
    {
      "id": 208022,
      "title": " purpose of tain_tfrecords and test_tfrecords? ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 210033,
      "title": "Cutmix, Mixup implementation for PyTorch?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202560,
      "title": "Create Target for Mosaic Augmentation? ",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 209594,
      "title": "TPU Experts: Commit vs Run All?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 206521,
      "title": "How to use the pretrained model  when submitting?(eg:ResNet50 from pytorch)",
      "comment_count": 22,
      "views": 0,
      "votes": 2
    },
    {
      "id": 210400,
      "title": "Functional vs Sequential API? Tensorflow",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 209407,
      "title": "How to choose model, optimizers, Loss functions ? ",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 210066,
      "title": "Is it classification or regression problem?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 210027,
      "title": "Images augmentation with torchvision.transforms",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 209991,
      "title": "Incomprehensible thing taking too much time",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 209959,
      "title": "Need help in TPU parallel training: Pytorch ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 209858,
      "title": "Struggling Beginner Question",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 208325,
      "title": "[TF.Keras]: Implementation of Joint Optimization Framework",
      "comment_count": 9,
      "views": 0,
      "votes": 11
    },
    {
      "id": 198219,
      "title": "CV vs LB..",
      "comment_count": 48,
      "views": 0,
      "votes": 52
    },
    {
      "id": 209546,
      "title": "Why am I getting `submission not found` error?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 209305,
      "title": "Local file warning  File system scheme '[local]' not implemented (file: '/kaggle/input/cassava-leaf-disease-classification/test_images/*jpg')",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 209631,
      "title": "notebook submission running into timeout error.",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 198805,
      "title": "Best single model",
      "comment_count": 24,
      "views": 0,
      "votes": 32
    },
    {
      "id": 209110,
      "title": "i am getting submission scoring error",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 202943,
      "title": "Class distribution in public test set (public LB)",
      "comment_count": 4,
      "views": 0,
      "votes": 32
    },
    {
      "id": 201843,
      "title": "Notebook Timeout Error",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 209151,
      "title": "Need help with tta implementation with fast.ai during inference ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 209048,
      "title": "How to perform Pseudo-Labeling in this Competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208415,
      "title": "Can't submit my notebook",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 207899,
      "title": "Competition Update",
      "comment_count": 1,
      "views": 0,
      "votes": 26
    },
    {
      "id": 207495,
      "title": "Help needed! Pytorch with TPU",
      "comment_count": 15,
      "views": 0,
      "votes": 4
    },
    {
      "id": 207614,
      "title": "Erroneous labels ?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 209084,
      "title": "Cannot Submit my Result",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 208326,
      "title": "[TF.Keras]: Implementation of Generalized Cross Entropy Loss",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 199602,
      "title": "Merged Dataset with Previous Kaggle Cassava Leaf Disease Competition",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 208616,
      "title": "GPU for the submission",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 208559,
      "title": "Can this dataset be used in a research paper?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199131,
      "title": "Merged(2019 && 2020)-Duplicates removed TFrecords - 512 x 512",
      "comment_count": 16,
      "views": 0,
      "votes": 53
    },
    {
      "id": 208567,
      "title": "Inquiry of the leaderboard updates after the competition timeline",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 207977,
      "title": "Very slow training even with GPU",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 207674,
      "title": "Submission csv not found - unsure why",
      "comment_count": 14,
      "views": 0,
      "votes": -1
    },
    {
      "id": 208895,
      "title": "How to make submissions?",
      "comment_count": 4,
      "views": 0,
      "votes": -2
    },
    {
      "id": 208492,
      "title": "Can anyone kindly provide me a tta implementation with tfrecord for reference?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207856,
      "title": "How to choose the lr and the lr_scheduler?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200696,
      "title": "Loss Functions for Multiclass imbalanced data",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 208343,
      "title": "Are separate notebooks allowed for training and inferencing?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 207410,
      "title": "Is the private leaderboard accessible?",
      "comment_count": 14,
      "views": 0,
      "votes": 15
    },
    {
      "id": 208483,
      "title": "Can I get rid of the tfrecord folders from my disk if I don't use TensorFlow or TPUs?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 208542,
      "title": "LB 0.881 | SE-ResNeXT + EfficientNet-B5 with Depth Estimation Network",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198647,
      "title": "submission failed",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 206489,
      "title": "Best TTA for me is almost no aug",
      "comment_count": 17,
      "views": 0,
      "votes": 37
    },
    {
      "id": 208411,
      "title": "About label.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208386,
      "title": "Submission confusion",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 208106,
      "title": "model.bin covertabel into other format",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 202826,
      "title": "How to best ensemble tf models?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 208335,
      "title": "Submission file not found",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 207568,
      "title": "Why Resnet50 get a higher accuracy than Resnet152?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207815,
      "title": "Doubt with test image and tf record",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 207870,
      "title": "Model Accuracy Thread?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208297,
      "title": "Public LB reshuffled?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 208070,
      "title": "How to run notebook in background?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 208253,
      "title": "Keeping the tensorflow consistent",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 198241,
      "title": "[11/26 Updated] Pytorch Baseline Starter (Val: 0.932, Public LB: 0.900)",
      "comment_count": 5,
      "views": 0,
      "votes": 81
    },
    {
      "id": 207560,
      "title": "Imbalanced Dataset - What should be do?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199883,
      "title": "Save output with quick save",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 208158,
      "title": "[support] Download the dataset via Baidu cloud disk",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205990,
      "title": "Submission Error: \"CSV-File not found\"",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 207744,
      "title": "Using different Image Size for Transfer Learning (EfficientNet)",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207065,
      "title": "Good Validation Accuracy but Bad LB",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 207524,
      "title": "Score not increasing ",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207739,
      "title": "What validation split are you using?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207737,
      "title": "Submission running for a very long time",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207702,
      "title": "Install EfficientNet for PyTorch for offline inference",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207453,
      "title": "Demo site for Albumentations",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 206935,
      "title": "Reusable PyTorch Pipeline",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 207201,
      "title": "any books ,sites, courses  for  deep learning with pytorch ?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201601,
      "title": "Vision Transformer(ViT) - Visualize Attention Map",
      "comment_count": 7,
      "views": 0,
      "votes": 35
    },
    {
      "id": 207566,
      "title": "Try RESNET 50, fast and good",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207463,
      "title": "How do I remove the unwanted and duplicate images?? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207281,
      "title": "Why do we take the mean during kfold/ensembling/tta?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207394,
      "title": "Performance Difference Between Learning Rate 1e-4 and 0.00025118",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207558,
      "title": "How can I install Tensorflow 2.4 without any error?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 199980,
      "title": "applied Augmentations with/without Normalize ",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198135,
      "title": "Competition Metric",
      "comment_count": 37,
      "views": 0,
      "votes": 57
    },
    {
      "id": 207693,
      "title": "Mismatch between csv file columns and number of images",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 203296,
      "title": "Best Kernels to read",
      "comment_count": 13,
      "views": 0,
      "votes": 26
    },
    {
      "id": 207619,
      "title": "Run all of a R Notebook Copy always errors ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 206220,
      "title": "Some words about TTA",
      "comment_count": 11,
      "views": 0,
      "votes": 30
    },
    {
      "id": 201293,
      "title": "Help with Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 207136,
      "title": "Normalizing Image twice?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207175,
      "title": "Beginner-friendly End-to-end Walkthrough in Tensorflow/Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 206777,
      "title": "submission csv not found",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207354,
      "title": "Only 1 test image? how will get full test set? ",
      "comment_count": 2,
      "views": 0,
      "votes": -2
    },
    {
      "id": 200726,
      "title": "What did/did not work for me so far?",
      "comment_count": 36,
      "views": 0,
      "votes": 55
    },
    {
      "id": 207342,
      "title": "why errors such as \"RandomShuffleQueue '_1_shuffle_batch/random_shuffle_queue' is closed and has insufficient elements\" always occurred",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 206865,
      "title": "Receipt of the notebook on Cassava.",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205913,
      "title": "Weird improvement trick [Can someone explain the reason?]",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 207309,
      "title": "How to score high in Cassava Competition ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 207057,
      "title": "Albumentations with TPU",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207346,
      "title": "StratifiedShuffleSplit reliability",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 207320,
      "title": "for code submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 207455,
      "title": "How to implement Image Augmentation to solve Cassava Leaf Disease Classification",
      "comment_count": 0,
      "views": 0,
      "votes": -5
    },
    {
      "id": 206920,
      "title": "Version question",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 206610,
      "title": "Size of binary encoded images seems to be smaller than jpgs",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 206309,
      "title": "With Efficientnet, Loading the model file that I have learned.",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 206707,
      "title": "Wrote a custom Multi-Class ROC function but getting very high ROC",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 206720,
      "title": "CutMix results in abysmal submission scores",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 206345,
      "title": "Data-efficient image Transformers: Beating EfficientNet",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 206018,
      "title": "Duplicates across 2019 and 2020 data, and potential leaks.",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 198244,
      "title": "Ideas for Further Improving Public Kernels",
      "comment_count": 8,
      "views": 0,
      "votes": 51
    },
    {
      "id": 206580,
      "title": "Submission time : CPU vs GPU",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206368,
      "title": "Advice for Kaggle beginner with Deep Learning knowlege",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 206174,
      "title": "not implemented",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202627,
      "title": "Aug to try: SnapMix",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 206487,
      "title": "How can I make train.csv(like a cassava train.csv) file from this folders?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 206588,
      "title": "Error is occurring while submitting final output. need help!",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 206355,
      "title": "Does the notebook I submit also run on the private subset of the test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 205032,
      "title": "Not able to do Submission",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 206273,
      "title": "Always getting Submission CSV Not Found Error. Need Help!",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205879,
      "title": "Extremely low validation accuracy ",
      "comment_count": 16,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199920,
      "title": "Misconceptions about fastai and PyTorch - Too Much Magic",
      "comment_count": 9,
      "views": 0,
      "votes": 19
    },
    {
      "id": 205572,
      "title": "Which metric to use in training to save models?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 206423,
      "title": "Score is not Crossing 0.87 after many tries",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205971,
      "title": "Preprocessing methods using vegetation indices",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198143,
      "title": "Cassava Lead Diseases: Overview",
      "comment_count": 11,
      "views": 0,
      "votes": 140
    },
    {
      "id": 206370,
      "title": "How to download train.csv？",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206475,
      "title": "DCT2 transformed image as a CNN input for classification.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 205080,
      "title": "Pytorch Lightning + Hydra Starter Kit - Public LB 0.894",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 205211,
      "title": "Some thoughts about relabeling",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 206183,
      "title": "Discriminative learning rates",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205895,
      "title": "Snapmix aug takes 3X-5X more time to train?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205623,
      "title": "How to complete the pseudo label",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206164,
      "title": "Is this instance a CBSD case or healthy case?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205934,
      "title": "Getting error-Session restarted when loading 14k train images in R",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198455,
      "title": "I created resized datasets (jpeg & tfrecord).",
      "comment_count": 7,
      "views": 0,
      "votes": 23
    },
    {
      "id": 205858,
      "title": "Is there any finetuning network for lager than 224x224? ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 200393,
      "title": "Submission Score is 0.00 Always",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 205843,
      "title": "please help",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206072,
      "title": "Voting vs Adding at Inference with multiple model or Augmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 203374,
      "title": "Tip to speed up training 2x in Keras",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 204651,
      "title": "Any Stable Validation Strategy?",
      "comment_count": 13,
      "views": 0,
      "votes": 13
    },
    {
      "id": 205312,
      "title": "Different Augmentations on Albumentations",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 206051,
      "title": "Macro image pre-processing using ImageMagick.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205424,
      "title": "Gambler's loss for noisy label in pytorch ",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 202333,
      "title": "Things I've tried with FastAI till now",
      "comment_count": 19,
      "views": 0,
      "votes": 3
    },
    {
      "id": 206034,
      "title": "It looks like a CNN as a more layered and generalized nonlinear Fourier transform filter.",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 205802,
      "title": "Can not install package through notebook",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 204693,
      "title": "Can i use transfer learning for this competition??",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205415,
      "title": "Things that I have tried out with a score of 0.834",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 204836,
      "title": "First computer vision competition",
      "comment_count": 18,
      "views": 0,
      "votes": 6
    },
    {
      "id": 205883,
      "title": "I've made DCT cut-out augmentation method.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 200920,
      "title": "Valid set and LeaderBoard scores are much diff",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200201,
      "title": "Merged JPEG Dataset [Duplicates Removed]",
      "comment_count": 19,
      "views": 0,
      "votes": 70
    },
    {
      "id": 198198,
      "title": "Is K fold Cross Validation helps for this imbalance problem ? ",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200179,
      "title": "Cosine Annealing Warm Restarts Scheduler Research Paper",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 203579,
      "title": "Some Augmented Images",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 203256,
      "title": "Can anyone share notebook which use bi tempered loss with pytorch? .",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 205318,
      "title": "Any suggestions to speed up training in Pytorch?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205575,
      "title": "Can't access saved model from Output directory",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 204631,
      "title": "Training ResNet50 with SnapMix (single fold, notta, LB=0.891)",
      "comment_count": 3,
      "views": 0,
      "votes": 19
    },
    {
      "id": 201614,
      "title": "Setup Dataset using Kaggle API (Colab/Local Machine Solution) ",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 198410,
      "title": "Submission with only label=3 scores 0.61",
      "comment_count": 2,
      "views": 0,
      "votes": 27
    },
    {
      "id": 203500,
      "title": "MEGA TFRec Dataset - Cassava 256 X 256",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205166,
      "title": "Why does custom loss function slow training ?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 199042,
      "title": "Anyone willing to team up for this competition.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205072,
      "title": "How image auguments in the competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 204784,
      "title": "Why is my model not improving during training time?",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 202673,
      "title": "More noisy samples",
      "comment_count": 9,
      "views": 0,
      "votes": 48
    },
    {
      "id": 205161,
      "title": "Ensemble voting or cat models?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 203545,
      "title": "Save GPU time !! 5x Speedup using ds.cache() and mixed precision (tf and Keras)",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 205126,
      "title": "new to computer vision",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 203095,
      "title": "Correct way to unfreeze EfficientNet weights",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 204884,
      "title": "How to use tta in this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198530,
      "title": "Which way is the most appropriate for making submission?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 204842,
      "title": "Accuracy stuck at 61% ",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205062,
      "title": "The time limit of the private leaderboard",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 205021,
      "title": "Resource Exhaust Error",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 204874,
      "title": "Unable to upload a new dataset in notebooks",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 204881,
      "title": "Will there be GPU acceleration when submitting even if I didn't use it when inference",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 203489,
      "title": "Deep Metric Learning ?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 204696,
      "title": "Why test set has only 1 image???",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 202351,
      "title": "8 techniques to experiment for improvement the model performance ",
      "comment_count": 9,
      "views": 0,
      "votes": 43
    },
    {
      "id": 204682,
      "title": "Test loss not decreasing beyond ~0.4, with accuracy on LB 85.9",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 203352,
      "title": "Beginner Question about Weight Decay Regularization",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 202581,
      "title": "Deep Learning on Controlled Noisy Labels",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 198738,
      "title": "Using Git repositories without internet",
      "comment_count": 17,
      "views": 0,
      "votes": 33
    },
    {
      "id": 202485,
      "title": "How To: Reuse Previous Competition Code On New Competition",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 203552,
      "title": "cannot make inference on test: where is it??",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 203439,
      "title": "TPU without internet",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 202292,
      "title": "What's yours GPU Usage?",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 203547,
      "title": "How to speed up inference?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 203560,
      "title": "Train data availability during submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 203554,
      "title": "from image 17689 the computer claims that the images do not exist ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 198679,
      "title": "More digits in the LB",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 201702,
      "title": "Tips to iterate quickly",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 202652,
      "title": "Pytorch vs Keras?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 202720,
      "title": "EfficicentNet Input Size / Keras Question",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 202580,
      "title": "Augmentation on Validation Images",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202997,
      "title": "How to submit predictions",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 203206,
      "title": "why my network loss and acc always stay at same number?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 203183,
      "title": "How to implement \"Gradient Accumulation\" with tensorflow/keras",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 203174,
      "title": "What is the ideal computer specification required for this contest?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 202651,
      "title": "Create TF Record + Stratified Sampling",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 202247,
      "title": "Key Classes in this Competition",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 202304,
      "title": "[TF.Keras]: Advanced Augmentations in Sequence Generator ",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 200876,
      "title": "Newbie question: Can not load efficient net weights",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 202946,
      "title": "Getting LB score of 0.048 even after using everything to the best of my knowledge.",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 198299,
      "title": "How to download full dataset on Colab?",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 202764,
      "title": "Does anyone have a sense of the score of the labels?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 202466,
      "title": "Can we Write a Blog and Publish it for this competition ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201699,
      "title": "Rethinking CV Strategy : StratifiedGroup-Kfold",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 202427,
      "title": "Kaggle competition fairness ",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202322,
      "title": "Canceling a submission",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200141,
      "title": "[completed] starter kit ....based on 2019 kaggle cassava challenge",
      "comment_count": 6,
      "views": 0,
      "votes": 29
    },
    {
      "id": 201977,
      "title": "Ninja Techniques To Make Most Out of Google Cloud TPUs !",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 199631,
      "title": "Mixed Precision Training",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 201567,
      "title": "Image Augmentation or any sprinkle of magic?",
      "comment_count": 24,
      "views": 0,
      "votes": 6
    },
    {
      "id": 201911,
      "title": "(Cross-)validation strategy for this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 202708,
      "title": "External data size limit?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 202166,
      "title": "Some questions of beginner",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201847,
      "title": "Please add an accurate running time for submission ",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 201764,
      "title": "Normalizing dataset!",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 202468,
      "title": "Timing Out of Notebook During Training",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 201917,
      "title": "Can I upload model trained locally to submit?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 200877,
      "title": "Weight download question",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201704,
      "title": "TPU Usage extremely low",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200889,
      "title": "Submission CSV Not Found",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201950,
      "title": "How long does it take to submit prediction?",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201990,
      "title": "Question regarding tensorflow datasets and the map function",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201709,
      "title": "Timm or Pretrainedmodels",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 201515,
      "title": "What machine are you using and how long per epoch?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201620,
      "title": "What is the competition metric?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 202080,
      "title": "How to use pre-trained data without internet",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201955,
      "title": "Submission Error",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201404,
      "title": "Batch Normalization after or before Activation function?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 202117,
      "title": "Learning with noise label?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200828,
      "title": "1 Year into ML and still asking noob questions",
      "comment_count": 7,
      "views": 0,
      "votes": 18
    },
    {
      "id": 201538,
      "title": "Some doubts regarding submission ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201552,
      "title": "OCD on Seeding: Deviations of results in different environments after Seeding.",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201705,
      "title": "Submission is taking a long time to process",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200803,
      "title": "Upcoming rescore [complete]",
      "comment_count": 14,
      "views": 0,
      "votes": 31
    },
    {
      "id": 201967,
      "title": "why only 1 image for testing?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201186,
      "title": "Improve VisionTransformer Baseline [over 0.89] with Out-of-box APIs",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 200746,
      "title": "LeafGAN was released!",
      "comment_count": 6,
      "views": 0,
      "votes": 34
    },
    {
      "id": 201775,
      "title": "Error while submission",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201528,
      "title": "Data Not Available? Issue with Kaggle API?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199414,
      "title": "Update to tfrecords",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 201513,
      "title": "where will be the output of the notebook!?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201213,
      "title": "Augmentation only on the minority class.",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 199606,
      "title": "What do you think about the quality of the labeling (or how many errors are in labels)?",
      "comment_count": 21,
      "views": 0,
      "votes": 45
    },
    {
      "id": 200886,
      "title": "Please , release the removed images for all participants ",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 201306,
      "title": "How to make a first successful submission when you know a little bit of Python",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 199903,
      "title": "Using GANs for data augmentation",
      "comment_count": 15,
      "views": 0,
      "votes": 26
    },
    {
      "id": 200855,
      "title": " Synthetic Minority Oversampling Technique (SMOTE)",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 201514,
      "title": "[Error-404] Kaggle API",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201418,
      "title": "Kaggle bug - the notebooks have wrong \"best score\"",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201031,
      "title": "label_num_to_disease_map.json",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198788,
      "title": "How much time does it take for the submission to show result in a very simple model.",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201320,
      "title": "can i use some way of lossless image compression  ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200412,
      "title": "Some Insights about the Data ",
      "comment_count": 4,
      "views": 0,
      "votes": 21
    },
    {
      "id": 199902,
      "title": "External data: Mendeley Leaves",
      "comment_count": 3,
      "views": 0,
      "votes": 39
    },
    {
      "id": 201439,
      "title": "Is there one test image?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 201209,
      "title": "Good To Know Facts",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200854,
      "title": "Data not found ? in data explorer",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 201278,
      "title": "Any idea why it is taking like 30 mins to just run first epoch",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 201052,
      "title": "Did something change with the leaderboard?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200807,
      "title": "CenterCrop + Resize on validation dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 201166,
      "title": "Download the dataset on google Colab ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201155,
      "title": "Classwise probability threshold calibration?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200952,
      "title": "How to properly pick the test fold in k-fold validation?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200460,
      "title": "A way to scrape more data from google",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 198122,
      "title": "Great to see a competition from and for Africa",
      "comment_count": 4,
      "views": 0,
      "votes": 37
    },
    {
      "id": 199548,
      "title": "Insights of Not Over-fitting to LB",
      "comment_count": 1,
      "views": 0,
      "votes": 71
    },
    {
      "id": 200748,
      "title": "What is Inference ?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198620,
      "title": "Fmix v.s. Cutmix Simple Explanation and Visualizations",
      "comment_count": 6,
      "views": 0,
      "votes": 40
    },
    {
      "id": 200901,
      "title": "erroneous labeling",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200643,
      "title": "Why cannot see my submission？",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200805,
      "title": "What's wrong with the leaderboard?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199102,
      "title": "Some images are misclassified as Healthy",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 200821,
      "title": "Pseudo label permited in this competetion?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200301,
      "title": "External Data Questions",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198747,
      "title": "Can I use locally trained models?",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 200182,
      "title": "How much is randomness affecting...",
      "comment_count": 13,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200371,
      "title": "Upsampled dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 198987,
      "title": "Cassava Brown Streak Disease unusual instances ",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 200239,
      "title": "OOM in Kaggle Notebook",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200618,
      "title": "What's \"single model\" exactly?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200363,
      "title": "Web scraping",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200276,
      "title": "Submission Scoring Error",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199856,
      "title": "Predicting Inference Time in EfficientNets",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 199996,
      "title": "Do we know the correct classification for the test image?",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 198409,
      "title": "Which is faster to learn PyTorch or TF?",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 200624,
      "title": "Considerations for the competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200224,
      "title": "Why suddenly I am getting No such file or directory: '/kaggle/input/cassava-leaf-disease-classification/train.csv Error?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200020,
      "title": "Fast loading of images in PyTorch",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200230,
      "title": "Notebook/ Dataset help",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200019,
      "title": "Unable to preview or download individual files",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200347,
      "title": "About the evaluation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198812,
      "title": "Similar Images Competition",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 199956,
      "title": "Data imbalanced ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199511,
      "title": "How to save trained model in Kaggle?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200077,
      "title": "How load weights off-line?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199730,
      "title": "Is submission from Google Colab possible for this competition?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199775,
      "title": "EfficientNet B5 - Keras model files",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198272,
      "title": "Something wrong with organizer's tfrecords files. (closed)",
      "comment_count": 22,
      "views": 0,
      "votes": 16
    },
    {
      "id": 199579,
      "title": "Is it worth trying to use the previous competition data as external data?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199056,
      "title": "where are test dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 199743,
      "title": "Can vgg16 work in this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198202,
      "title": "Duplicate Images",
      "comment_count": 6,
      "views": 0,
      "votes": 45
    },
    {
      "id": 198806,
      "title": "cassavas, not cassava leaves",
      "comment_count": 10,
      "views": 0,
      "votes": 10
    },
    {
      "id": 199145,
      "title": "The notebook tried to allocate more memory than available",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199124,
      "title": "Why so many 0.614s?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199935,
      "title": "Looking for Team mate",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 198377,
      "title": "Why they are many more PyTorch notebooks than TF",
      "comment_count": 18,
      "views": 0,
      "votes": 5
    },
    {
      "id": 199780,
      "title": "How to make submission if we train a model in colab",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199889,
      "title": "UnavailableError: failed to connect to all addresses",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199714,
      "title": "How to choose the version of training weight?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198158,
      "title": "Does the data of this competition overlap with the previous competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 199345,
      "title": "What is the labelling procedure for this data?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 198996,
      "title": "A question about TPU",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199150,
      "title": "Question: Image sizing for Efficientnet ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199580,
      "title": "Copy of TPU notebook with maximum weekly TPU reached",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198260,
      "title": "Keras pretrained models dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198907,
      "title": "Is cassava segmentation possible?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199740,
      "title": "How Pseudo Labeling and Stacking is done.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198596,
      "title": "TPU does not work with TF greater than 2.2!",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198363,
      "title": "There might be some wrong labels",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 198989,
      "title": "Internet should be disabled",
      "comment_count": 11,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199212,
      "title": "TPU \"UnavailableError: Socket closed\"",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199468,
      "title": "Large difference between CV and LB (closed)",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199459,
      "title": "Stratified TF Records",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198731,
      "title": "Looking what CNN learns",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 198919,
      "title": "Unable to submit and view my score on the leaderboard",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198454,
      "title": "TFRecords is wrong ??",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 199295,
      "title": "How to use Se-ResNEXT models in TF ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198594,
      "title": "[Issue] Downloading data Using kaggle-api",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199311,
      "title": "Keep TPU Notebook alive for more than 15 minutes?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198584,
      "title": "Incidence of disease in Cassava plants in Africa (and impact on metric choice)",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 199428,
      "title": "KaggleDatasets().get_gcs_path() Connection error",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199287,
      "title": "[Help needed] How do I pick a the out channels for a simple CNN model?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198725,
      "title": "How to import Keras models without internet for submission notebook?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198894,
      "title": "Youtube videos relating disease of this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199238,
      "title": "Are the size fixed at 600×800 on both public test and private test ?  ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198832,
      "title": "[Paper] Disease Classification in Eggplant Using Pre-trained VGG16 and MSVM",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198422,
      "title": "Recreating tfrecords makes score better",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 198263,
      "title": "Query regarding Test dataset ",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198190,
      "title": "Organizer's Baseline for TPU training",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 198842,
      "title": "Handling imbalanced datasets ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198875,
      "title": "Interesting Dataset on Leaf Disease  , For Using Pretrained Models !",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198721,
      "title": "Making predictions using TF datasets on GPU",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198816,
      "title": "submission csv not found",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198182,
      "title": "Is the competition metric sensative to class imbalance?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198197,
      "title": "Transfer learning - Which model best suits for cassava leaf classification ? ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198839,
      "title": "Any suggestions to improve f1 score ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198627,
      "title": "TSNE visualization gone wrong",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198174,
      "title": "Submission Score Error",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198229,
      "title": "Loading train_images",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198200,
      "title": "How to use the FastAI 1.x ? ...",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198435,
      "title": "How to import external library?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198291,
      "title": "Nosedive - EDA cum Image Processing",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 198159,
      "title": "Papers on Crop Image Detection",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 198676,
      "title": "New model proposal: Vision Transformer",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198476,
      "title": "Is submission from outside? (colab) ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198177,
      "title": "Different Approaches To Solve This Problem",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 198230,
      "title": "Image Statistics DATASET Compiled - For EDA",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198169,
      "title": "TF Records - introduction resources",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198259,
      "title": "Image quality control",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}