{
  "total": 227,
  "topics": [
    {
      "id": 104407,
      "title": "Are you new to machine learning? Ask questions here!",
      "comment_count": 47,
      "views": 0,
      "votes": 23
    },
    {
      "id": 118309,
      "title": "Thank you!",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 104406,
      "title": "Looking For a Team Thread",
      "comment_count": 126,
      "views": 0,
      "votes": 16
    },
    {
      "id": 104397,
      "title": "External Data Disclosure Thread",
      "comment_count": 21,
      "views": 0,
      "votes": 5
    },
    {
      "id": 104396,
      "title": "Welcome to the Understanding Clouds from Satellite Images Challenge",
      "comment_count": 9,
      "views": 0,
      "votes": 18
    },
    {
      "id": 104536,
      "title": "Welcome from the organizers!",
      "comment_count": 5,
      "views": 0,
      "votes": 28
    },
    {
      "id": 208871,
      "title": "Tips dataset.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 114093,
      "title": "Correct Dice Metric",
      "comment_count": 23,
      "views": 0,
      "votes": 19
    },
    {
      "id": 111375,
      "title": "Improving code quality with utility scripts",
      "comment_count": 14,
      "views": 0,
      "votes": 53
    },
    {
      "id": 118010,
      "title": "investigation into bi-tempered loss",
      "comment_count": 4,
      "views": 0,
      "votes": 23
    },
    {
      "id": 118080,
      "title": "1st placed solution with code",
      "comment_count": 58,
      "views": 0,
      "votes": 161
    },
    {
      "id": 115020,
      "title": "TensorFlow 2.0 versus TensorFlow 1.14",
      "comment_count": 13,
      "views": 0,
      "votes": 14
    },
    {
      "id": 107711,
      "title": "Discussing post processing",
      "comment_count": 18,
      "views": 0,
      "votes": 30
    },
    {
      "id": 105614,
      "title": "A trick to use bigger batches for training: gradient accumulation",
      "comment_count": 28,
      "views": 0,
      "votes": 81
    },
    {
      "id": 116474,
      "title": "Training a single AI model can emit as much carbon as five cars in their lifetimes",
      "comment_count": 19,
      "views": 0,
      "votes": 15
    },
    {
      "id": 115787,
      "title": "[lb 0.6709] yet another pytorch starter-kit",
      "comment_count": 193,
      "views": 0,
      "votes": 96
    },
    {
      "id": 114938,
      "title": "the gap between CV and LB",
      "comment_count": 24,
      "views": 0,
      "votes": 5
    },
    {
      "id": 118086,
      "title": "Krazy Klassifiers - 48th place solution",
      "comment_count": 16,
      "views": 0,
      "votes": 70
    },
    {
      "id": 104587,
      "title": "Object Detection vs Instance Segmentation",
      "comment_count": 23,
      "views": 0,
      "votes": 35
    },
    {
      "id": 112582,
      "title": "More Tricks to Train w/ Bigger Batches (pytorch)",
      "comment_count": 2,
      "views": 0,
      "votes": 30
    },
    {
      "id": 111904,
      "title": "Some tricks to train faster (pytorch)",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 117206,
      "title": "Don't be a hero",
      "comment_count": 46,
      "views": 0,
      "votes": 56
    },
    {
      "id": 118255,
      "title": "2nd place solution",
      "comment_count": 19,
      "views": 0,
      "votes": 85
    },
    {
      "id": 117021,
      "title": "How to Save Time and Money",
      "comment_count": 15,
      "views": 0,
      "votes": 68
    },
    {
      "id": 130775,
      "title": "question about classification head in segmentation model",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 118262,
      "title": "10th place solution",
      "comment_count": 15,
      "views": 0,
      "votes": 36
    },
    {
      "id": 117975,
      "title": "19th place solution with code",
      "comment_count": 13,
      "views": 0,
      "votes": 31
    },
    {
      "id": 115891,
      "title": "Image size used in training process?",
      "comment_count": 16,
      "views": 0,
      "votes": 8
    },
    {
      "id": 115913,
      "title": "Commits Keep on running and wasting GPU hours",
      "comment_count": 31,
      "views": 0,
      "votes": 18
    },
    {
      "id": 115033,
      "title": "Anyone eating Tiramisu ?",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 116058,
      "title": "Creating Masks With Magic!!",
      "comment_count": 43,
      "views": 0,
      "votes": 113
    },
    {
      "id": 119072,
      "title": "[private/public-lb]  0.669/0.670 : efficient-net-b4-unet 5-fold",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 118019,
      "title": "Easy silver in last days [55th]",
      "comment_count": 31,
      "views": 0,
      "votes": 49
    },
    {
      "id": 116261,
      "title": "Trick to Speed Up Data Loaders",
      "comment_count": 29,
      "views": 0,
      "votes": 46
    },
    {
      "id": 118017,
      "title": "6th simple solution, pre-training, single model private 0.66927",
      "comment_count": 45,
      "views": 0,
      "votes": 55
    },
    {
      "id": 118065,
      "title": "3rd silver place key points",
      "comment_count": 12,
      "views": 0,
      "votes": 27
    },
    {
      "id": 117949,
      "title": "Finally GM & 1st time won prize money! And 3rd place solution. ",
      "comment_count": 45,
      "views": 0,
      "votes": 98
    },
    {
      "id": 119332,
      "title": "dataloader",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112419,
      "title": "Another reason why this competition is so important",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 118115,
      "title": "95th Place Solution",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 118089,
      "title": "Top Solutions - 1,2,3,4,5,6,7,10 ...",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 118814,
      "title": "Private LB 0.66758 solution: From single Network multi folds",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 118370,
      "title": "Incorporating Image Pairs",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117948,
      "title": "Shake-up Scatter Plot",
      "comment_count": 10,
      "views": 0,
      "votes": 25
    },
    {
      "id": 117974,
      "title": "Finally GM & 7th place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 39
    },
    {
      "id": 118072,
      "title": "13th place solution",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 117987,
      "title": "5th place solution(single segmentation model private lb 0.66806)",
      "comment_count": 29,
      "views": 0,
      "votes": 30
    },
    {
      "id": 118016,
      "title": "4th Place Solution: Stabilizing Convergence in Understanding Clouds",
      "comment_count": 13,
      "views": 0,
      "votes": 29
    },
    {
      "id": 118018,
      "title": "143rd place (bronze) solution with code",
      "comment_count": 9,
      "views": 0,
      "votes": 26
    },
    {
      "id": 116681,
      "title": "Colab now has P100 GPUs",
      "comment_count": 8,
      "views": 0,
      "votes": 15
    },
    {
      "id": 118250,
      "title": "34th Place Solution + Code",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 117959,
      "title": "Sharing my experience with the competition",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 118328,
      "title": "A middle-rank guys´ perspective & lessons from this competition",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 117954,
      "title": "My best private LB is just from a single network!!",
      "comment_count": 15,
      "views": 0,
      "votes": 15
    },
    {
      "id": 117983,
      "title": "🏅Gold Medal Solutions 🏅",
      "comment_count": 1,
      "views": 0,
      "votes": 22
    },
    {
      "id": 117991,
      "title": "Why our team disappear？ Even so, I share our solution.(0.65832 92nd, the most stable one but not be submitted)",
      "comment_count": 32,
      "views": 0,
      "votes": 7
    },
    {
      "id": 118184,
      "title": "22th Place - Lessons learned from a beginner",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 117924,
      "title": "Best of Luck for final results",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 118213,
      "title": "129th Place solution (Classifer Cascading + Segmentation)",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 117966,
      "title": "What a pity but finally learned a lot in this comp",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 118118,
      "title": "We found that number of GPU is crucial, did you?",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 118325,
      "title": "240 place with simple model, no kfold, no combining networks",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 117952,
      "title": "what is your best submission (if selected) on the private lb?",
      "comment_count": 23,
      "views": 0,
      "votes": 6
    },
    {
      "id": 117950,
      "title": "Wondering what happened to those who advanced 500+ places",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 116892,
      "title": "Noise is what you need",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 117973,
      "title": "Does pseudo labelling work for you?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 118142,
      "title": "Blending using np.logical_or works",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 117971,
      "title": "What to do after each competition",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 118186,
      "title": "Quick Silver - The Late Joiners' Journey",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 118342,
      "title": "Optimizer choise",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117955,
      "title": "need to rethink the way to work",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 118060,
      "title": "86-th(bronze) writeup - solution description and lessons learned.",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 117420,
      "title": "how many networks or diversities in the ensemble? ",
      "comment_count": 40,
      "views": 0,
      "votes": 9
    },
    {
      "id": 118011,
      "title": "New GM - Andrey Kiryasov - Congratulations)",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 118205,
      "title": "how to pick your final submissions for a Kaggle competition ",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 117965,
      "title": "Congratulations to All ! Hope Organizers got a good solution.",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117615,
      "title": "Cloud Detection Resized Images and Masks 1050x700",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 117616,
      "title": "Probable shakeup?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 117947,
      "title": "A minor detail: Destructive min_size",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 118054,
      "title": "Trust your CV. Learned a lesson.",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 117718,
      "title": "Small tip to save your ensemble time",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 117325,
      "title": "Predicting with different epochs weights might give better outcome!",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 117990,
      "title": "Private LB Rank 139 -> 129! What happened?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 118006,
      "title": "K-Fold predicting with single model",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117310,
      "title": "How many masks do you have in your best submission?",
      "comment_count": 16,
      "views": 0,
      "votes": 10
    },
    {
      "id": 117988,
      "title": "Clouds: Segmentation Ensembling Approach",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 108129,
      "title": "Must-see Kernels and topics - Understanding Clouds from Satellite Images",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 117823,
      "title": "What is wrong with my ensemble code?",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 117388,
      "title": "Temperature sharpening can give a boost of 0.0034?",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 117731,
      "title": "Yet another race visualization",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 117691,
      "title": "Why is colab so much slower than kaggle?",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117053,
      "title": "Post processing is the Key!!!!",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 117567,
      "title": "MXNetError",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116675,
      "title": "Dealing with images with multiple classes",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 117126,
      "title": "Wired ensemble boost",
      "comment_count": 19,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115763,
      "title": "Cloud Race",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 117438,
      "title": "Unable to Submit my results",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 117274,
      "title": "Kaggle notebooks randomly shutting down, yet not really",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 116648,
      "title": "Looking for a team",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 116708,
      "title": "Accurate Masks without post prow",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115115,
      "title": "Train with crops, Predict with full images",
      "comment_count": 19,
      "views": 0,
      "votes": 28
    },
    {
      "id": 116109,
      "title": "Experiments on classification task",
      "comment_count": 15,
      "views": 0,
      "votes": 7
    },
    {
      "id": 115699,
      "title": "Impact of using classier for removing the masks",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117054,
      "title": "Question about submissions",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 116774,
      "title": "Request Error",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 116791,
      "title": "Format of final submissions",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115834,
      "title": "A request to show more decimal places on the leaderboard",
      "comment_count": 2,
      "views": 0,
      "votes": 31
    },
    {
      "id": 116635,
      "title": "Unet++ Over Unet?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 116744,
      "title": "How to train or model such that it predicts if there is no specific cloud type in an image??",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 115782,
      "title": "What is your loss function?",
      "comment_count": 16,
      "views": 0,
      "votes": 2
    },
    {
      "id": 116509,
      "title": "MultiScale Training?",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 115641,
      "title": "multi model ensemble questions",
      "comment_count": 25,
      "views": 0,
      "votes": 6
    },
    {
      "id": 116704,
      "title": "Error when I try to import ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 116570,
      "title": "Questions regarding qubvel/segmentation_models",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115944,
      "title": "multi-label makes every prediction uncertain",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 116160,
      "title": "colorful cloud  ... prediction visualization",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 116453,
      "title": "Should  there  be  overlaps  in  these  species ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115081,
      "title": "Model overfit too soon ? ",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 116283,
      "title": "Best Single Segmentation Model Score",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 116082,
      "title": "Predict distribution is inconsistent with training data",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 114578,
      "title": "Hints from a late joiner's persepctive",
      "comment_count": 50,
      "views": 0,
      "votes": 33
    },
    {
      "id": 115837,
      "title": "Geo location of the images ...",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 112024,
      "title": "Single model performance",
      "comment_count": 61,
      "views": 0,
      "votes": 21
    },
    {
      "id": 115936,
      "title": "Metrics",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115614,
      "title": "Augmentation Techniques: Let's discuss",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 115934,
      "title": "what's the black region in datasets?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115599,
      "title": "How many epochs are you training?",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 114880,
      "title": "[ICCV:2019]Loss function for Noisy Label",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 115255,
      "title": "RLE Decode in C++",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111795,
      "title": "Shakeup possible?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 115001,
      "title": "Is it possible to reach 0.70+?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 115366,
      "title": "Label smoothing question",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115211,
      "title": "For someone moved from Severstal",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115568,
      "title": "ordeliness during discussions",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 114815,
      "title": "Flowers are easy to pick ?",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 115244,
      "title": "use linknet",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 114694,
      "title": "Learning from Weak and Noisy Labels for Semantic Segmentation",
      "comment_count": 4,
      "views": 0,
      "votes": 15
    },
    {
      "id": 114611,
      "title": "Optimisation of Threshold and Min Size doesn't work",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114863,
      "title": "Bounding Boxes instead of Segmentation",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 115351,
      "title": "text",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113844,
      "title": "Set Up Training for this competition in Google Colab",
      "comment_count": 20,
      "views": 0,
      "votes": 10
    },
    {
      "id": 115234,
      "title": "About submit ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114992,
      "title": "Can a pixel be considered as multiple classes?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 114808,
      "title": "Is there any reason that u-net is preferred than other segmentation model?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 114721,
      "title": "AdamAccumulate",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 111347,
      "title": "A best description of Generating mask from encoded pixel",
      "comment_count": 9,
      "views": 0,
      "votes": 23
    },
    {
      "id": 114395,
      "title": "Hints for late joiners?",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 113627,
      "title": "How to effectively ensemble models with Keras",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 110650,
      "title": "Corrupt and Mislabeled Images",
      "comment_count": 6,
      "views": 0,
      "votes": 33
    },
    {
      "id": 114437,
      "title": "A Late Joiner's Understanding and Notes",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 114640,
      "title": "What is \"the large scale flow\" ?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112937,
      "title": "Lovasz loss",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 114312,
      "title": "How to normalize?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 114514,
      "title": "In for something special?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112780,
      "title": "CV & LB corelation.",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111777,
      "title": "Adding TTA to the model before optimisation could help",
      "comment_count": 20,
      "views": 0,
      "votes": 17
    },
    {
      "id": 109645,
      "title": "Augmentations thred",
      "comment_count": 20,
      "views": 0,
      "votes": 28
    },
    {
      "id": 109051,
      "title": "Simple Descriptions of Cloud Types / Labeling Process",
      "comment_count": 14,
      "views": 0,
      "votes": 31
    },
    {
      "id": 113251,
      "title": "How to effective split training and validation set?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 107638,
      "title": "ResNet34 implementation of Unet works but ResNet 50 and 101 fails?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 109198,
      "title": "Knock Knock can send you email notification (or slack notification) ",
      "comment_count": 5,
      "views": 0,
      "votes": 20
    },
    {
      "id": 108306,
      "title": "Weakly supervised segmentation",
      "comment_count": 15,
      "views": 0,
      "votes": 27
    },
    {
      "id": 110097,
      "title": "Questions about the origin of the data",
      "comment_count": 14,
      "views": 0,
      "votes": 8
    },
    {
      "id": 112686,
      "title": "Augmentations released version 0.4.0",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 113456,
      "title": "kernel log",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112995,
      "title": "How to decide the Epoch and batches for DEEP LEARNING",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108927,
      "title": "Received an error code 400?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111493,
      "title": "threshold is high?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112817,
      "title": "TTA and image augmentation at train",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112776,
      "title": "use of validation set",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 112814,
      "title": "Model val loss going to 1, and val dice score to 0",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112597,
      "title": "Fast data loading [Experiments]",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112570,
      "title": "Augmentations Strategies for this Competition. TTA?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 111781,
      "title": "Deeper, Stronger, Better?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112399,
      "title": "bounding box & class loss, which is bigger loss?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112245,
      "title": "Why my dices are the same when I optimized thresholds ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111839,
      "title": "Efficient Net B4-B7 ",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111731,
      "title": "Beware of Pandas value_counts method for validation split",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 111558,
      "title": "Utility scripts for Keras users",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 110303,
      "title": "Some thoughts on this competition",
      "comment_count": 38,
      "views": 0,
      "votes": 49
    },
    {
      "id": 111586,
      "title": "Performance Evaluation ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111337,
      "title": "New method to tackle severe label noise",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 111514,
      "title": "senet154 throws 'No space left on device' error. Help?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111423,
      "title": "FPN or Unet: Which one is better?",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 111499,
      "title": "How apply random crop with mask pixel information?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111531,
      "title": "My machine learning template",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 111305,
      "title": "EfficientNets are now available in pytorch segmentation model repo.",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 111576,
      "title": "Baseline source code in github.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 111482,
      "title": "Hybrid convolutional and bidirectional LSTM or RNN",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 107649,
      "title": "Cross-Validation in Image Segmentation",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 111214,
      "title": "Using computing to fix climate change",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 110467,
      "title": "LPT: See what's going on with that commit ?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 108079,
      "title": "Resized dataset",
      "comment_count": 11,
      "views": 0,
      "votes": 26
    },
    {
      "id": 109726,
      "title": "Sugar baseline",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 109804,
      "title": "A Teammate",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 110292,
      "title": "404 downloading the dataset",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 109789,
      "title": "Using High-level frameworks is not learner friendly",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 109793,
      "title": "Public TestSet Distribution via LB probing",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 110087,
      "title": "Weird GPU error",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 109253,
      "title": "Regular image segmentation approach",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 109458,
      "title": "How to Remove False Positives?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 109450,
      "title": "Does anybody want to team up?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 109464,
      "title": "Discussion forum not showing - 429 Too Many Requests",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 104573,
      "title": "Must read material",
      "comment_count": 7,
      "views": 0,
      "votes": 51
    },
    {
      "id": 109102,
      "title": "Validation strategy",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108660,
      "title": "Instance Segmentation->How to predict classes",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 105993,
      "title": "What does it mean to use a pretrained resnet encoder with UNET? ",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 108898,
      "title": "Ideas for merging ensemble's predictions",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 105359,
      "title": "Information: Bad image list",
      "comment_count": 6,
      "views": 0,
      "votes": 41
    },
    {
      "id": 108897,
      "title": "what is the label to be taken for overlapping masks? for example, in the image 0011165.jpg, Fish and Flower masks overlap each other for some region.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108485,
      "title": "New GPU Qouta hours per week",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 108491,
      "title": "Don't know how to start!!! Please help",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 107854,
      "title": "Discuss the differences between Cloud and Steel Comps",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 108361,
      "title": "CV vs LB discrepancy",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108090,
      "title": "Question about the black area in the image",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 108661,
      "title": "Instance Segmentation->Request for list of past competition",
      "comment_count": 1,
      "views": 0,
      "votes": -6
    },
    {
      "id": 107721,
      "title": "LB better then training set",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 107461,
      "title": "What generally causes 'val_loss' to be lower than 'train_loss'?",
      "comment_count": 15,
      "views": 0,
      "votes": 3
    },
    {
      "id": 107425,
      "title": "How effective is pseudo-labeling?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 104771,
      "title": "[LB 0.628] simple segmentation approach",
      "comment_count": 17,
      "views": 0,
      "votes": 76
    },
    {
      "id": 106000,
      "title": "Overlapping Labels in Train Data?",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 107160,
      "title": "Looking For a Team Thread",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 105686,
      "title": "MODIS (*.jpg) data description?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 105061,
      "title": "Copyright",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 106735,
      "title": "score count",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 105345,
      "title": "How to jump from LB ~0.2 to LB ~0.5...",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 105123,
      "title": "Use data from another kaggle challenge?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}