{
  "total": 109,
  "topics": [
    {
      "id": 30743,
      "title": "Official Pretrained Models Thread",
      "comment_count": 65,
      "views": 0,
      "votes": 4
    },
    {
      "id": 30895,
      "title": "Mismatched training images",
      "comment_count": 15,
      "views": 0,
      "votes": 26
    },
    {
      "id": 371295,
      "title": "What's is the modern approach to solve this task?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 30840,
      "title": "Coordinates from label dots",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 140697,
      "title": "Competition Result CSV file for Master Thesis work",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 32006,
      "title": "this is joke?",
      "comment_count": 18,
      "views": 0,
      "votes": 46
    },
    {
      "id": 119761,
      "title": "Where is the picture comes from?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 66031,
      "title": "Master thesis: Survey companies about Kaggle competitions",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 32671,
      "title": "I have Piplined all the data for training",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 33992,
      "title": "Penguin counter",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 35422,
      "title": "Quick overview my solution: UNet + regression on masks",
      "comment_count": 29,
      "views": 0,
      "votes": 65
    },
    {
      "id": 35545,
      "title": "6th solution, objection detection + cnn classification",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 35442,
      "title": "Solution in a nutshell. 2th Public LB / 4th Private LB",
      "comment_count": 7,
      "views": 0,
      "votes": 36
    },
    {
      "id": 36066,
      "title": "23 th place solution",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 35465,
      "title": "My heatmap regression+segmentation solution and possible ways to normalize scale changes",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 35408,
      "title": "Finally, we have 1,178,071 sea lions",
      "comment_count": 66,
      "views": 0,
      "votes": 67
    },
    {
      "id": 35770,
      "title": "when will be the final LB likely to be announced ?",
      "comment_count": 5,
      "views": 2,
      "votes": 2
    },
    {
      "id": 35448,
      "title": "My  segment and count solution",
      "comment_count": 30,
      "views": 2,
      "votes": 61
    },
    {
      "id": 35462,
      "title": "AdaBoost, SSD: object detection for lions counting",
      "comment_count": 14,
      "views": 1,
      "votes": 23
    },
    {
      "id": 35491,
      "title": "R&D&G team solution, 5th place",
      "comment_count": 7,
      "views": 1,
      "votes": 19
    },
    {
      "id": 35359,
      "title": "Congratulations to all who beat a random submission",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 35456,
      "title": "My approach using coordinates as regression target ",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 35553,
      "title": "Post Final Submissions",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 35460,
      "title": "Density estimation approach: quick overview",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 35415,
      "title": "Solution sharing",
      "comment_count": 0,
      "views": 1,
      "votes": 8
    },
    {
      "id": 35432,
      "title": "Overview of approaches used",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 35397,
      "title": "Window level regression",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 35421,
      "title": "Cleanest post compettion data?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 35083,
      "title": "Is there any way I can still join?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 34962,
      "title": "Sematic segmentation using Unet",
      "comment_count": 15,
      "views": 0,
      "votes": 3
    },
    {
      "id": 35150,
      "title": "huge submission set and computational times",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 35221,
      "title": "Minimum number of tiles to train U-net from scratch?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 35170,
      "title": "Leaderboard Shake-up",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 35200,
      "title": "Best interpolation method",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 34974,
      "title": "Object Detection vs Image Segmentation Approaches",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 33900,
      "title": "Solving problem as regression problem on whole image [LB ~24.54]",
      "comment_count": 26,
      "views": 0,
      "votes": 35
    },
    {
      "id": 35205,
      "title": "Silly Question ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 35101,
      "title": "Regression at tile level",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 35167,
      "title": "Can the predictions be real-valued?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 35062,
      "title": "Semantic segmentation doubt",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 35059,
      "title": "Is this one stage competition ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 35028,
      "title": "Get coordinates of dots centers",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 33788,
      "title": "Semantic Segmentation",
      "comment_count": 36,
      "views": 0,
      "votes": 6
    },
    {
      "id": 34966,
      "title": "Torrent seeds",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 34671,
      "title": "Binary tile classification",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 34838,
      "title": "Newly open sourced TensorFlow Object Detection API",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 34546,
      "title": "Resized images to download (7.5Gb)",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 34737,
      "title": "Keras-FRCNN?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 34709,
      "title": "Fake sea lions",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 34485,
      "title": "If I got 242 of 242 here, I will got 863 pts....",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 33656,
      "title": "Heat Maps",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 34443,
      "title": "Cant finish.. so here is where I am...",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 32062,
      "title": "Memes",
      "comment_count": 3,
      "views": 0,
      "votes": 26
    },
    {
      "id": 32400,
      "title": "Local validation vs. leaderboard: 12 vs 24",
      "comment_count": 26,
      "views": 0,
      "votes": 5
    },
    {
      "id": 33253,
      "title": "Bounding boxes - anyone to annotate?",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 34306,
      "title": "Research Article with Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 33840,
      "title": "Fully convolutional prove of concept in Keras",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 34066,
      "title": "Tile database",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 32857,
      "title": "Correct Sea Lion Coordinates and Counts",
      "comment_count": 14,
      "views": 0,
      "votes": 32
    },
    {
      "id": 33956,
      "title": "Dot annotation tool",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 32229,
      "title": "caffe ssd for sea lion detection",
      "comment_count": 8,
      "views": 2,
      "votes": 4
    },
    {
      "id": 33852,
      "title": "800 train / 800 test",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 32825,
      "title": "Right... I have an accurate model, WHat now?",
      "comment_count": 17,
      "views": 0,
      "votes": -2
    },
    {
      "id": 33489,
      "title": "Image preprocessing/resizing",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 33487,
      "title": "Interactive Counting",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 33259,
      "title": "Crowded Sea Lions",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 33032,
      "title": "Trouble With Training Set Extraction",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 33114,
      "title": "Submission pending for over 2 hours",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 32973,
      "title": "TrainSmall2.7z is enough",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 31556,
      "title": "GIGO: a good pipeline starts with good data",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 31587,
      "title": "A Suggestion About Torrent",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 32702,
      "title": "wget the huge 7z data file (linux)",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 32769,
      "title": "classification",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 32690,
      "title": "Clarification about train data modification",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 32692,
      "title": "How far can we go without dots?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 32483,
      "title": "Evaluation Criteria",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 32564,
      "title": "Small kernel glitch",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 31472,
      "title": "Extracted coordinates available here :-)",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 32310,
      "title": "Why do you made torrent file this way?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 32251,
      "title": "Image Segmentation Question",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 30746,
      "title": "is there a smaller download to avoid the 100 gig",
      "comment_count": 22,
      "views": 1,
      "votes": 13
    },
    {
      "id": 32065,
      "title": "PCA should be used?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 31302,
      "title": "Question about redacted regions",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 31324,
      "title": "adult, sub-adult and juveniles",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 32026,
      "title": "Same Place",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 31368,
      "title": "External Data?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 31424,
      "title": "Incorrect labels & numbers",
      "comment_count": 4,
      "views": 0,
      "votes": 35
    },
    {
      "id": 31696,
      "title": "For those of you that are new to machine learning/ CovNets. View this:",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 31693,
      "title": "Does anyone want to count sea-lions together?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 31630,
      "title": "Size of the extracted images?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 31416,
      "title": "Is the LB broken?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 31460,
      "title": "Size of Uncompressed Data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 30847,
      "title": "Unaible to download data sets",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 30818,
      "title": "Missing Labels",
      "comment_count": 13,
      "views": 0,
      "votes": 8
    },
    {
      "id": 31203,
      "title": "Bugs on Public LB ",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 30998,
      "title": "Small Amount of Train Data",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 30930,
      "title": "Unzip Problem",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 31048,
      "title": "Rules clarification",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 31104,
      "title": "I don't see myself in the LB",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 30742,
      "title": "Welcome!",
      "comment_count": 15,
      "views": 0,
      "votes": 4
    },
    {
      "id": 31027,
      "title": "Discrepancies between the number of dots in images and the counts in train.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 30943,
      "title": "Can we have the coordinates of sea lions?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 30784,
      "title": "How can we download so large dataset into the computer?",
      "comment_count": 6,
      "views": 1,
      "votes": 1
    },
    {
      "id": 30936,
      "title": "Image 5.jpg",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 30900,
      "title": "Approach to the problem",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 30916,
      "title": "Problem with unzip ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 30897,
      "title": "Update to kernels data subset",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 30792,
      "title": "Training with small train set",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 30758,
      "title": "Original Data without the dots?",
      "comment_count": 2,
      "views": 2,
      "votes": null
    }
  ],
  "errors": []
}