{
  "total": 392,
  "topics": [
    {
      "id": 69435,
      "title": "Competition Leaderboard is Finalized - Congratulations to the Winners!",
      "comment_count": 20,
      "views": 0,
      "votes": 32
    },
    {
      "id": 67619,
      "title": "Submission score outage",
      "comment_count": 19,
      "views": 0,
      "votes": 16
    },
    {
      "id": 61478,
      "title": "Go For It!",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 61550,
      "title": "Metric clarification",
      "comment_count": 57,
      "views": 0,
      "votes": 27
    },
    {
      "id": 61474,
      "title": "Welcome!",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 61477,
      "title": "Welcome",
      "comment_count": 9,
      "views": 0,
      "votes": 10
    },
    {
      "id": 69291,
      "title": "1st Place Solution with Code",
      "comment_count": 154,
      "views": 0,
      "votes": 418
    },
    {
      "id": 69101,
      "title": "[Vishnu]: 21st place solution along with code using Fast.ai",
      "comment_count": 21,
      "views": 0,
      "votes": 55
    },
    {
      "id": 62381,
      "title": "[How to] pycocotools on Windows",
      "comment_count": 33,
      "views": 0,
      "votes": 29
    },
    {
      "id": 195650,
      "title": "Need advice on how to utilize multiple GPUs with Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63715,
      "title": "Deep semi-supervised learning",
      "comment_count": 47,
      "views": 0,
      "votes": 99
    },
    {
      "id": 104276,
      "title": "Minetorch",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 67791,
      "title": "Can someone please explain Lovasz loss?",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 63984,
      "title": "common tricks in kaggle image segmentation problems ",
      "comment_count": 106,
      "views": 0,
      "votes": 228
    },
    {
      "id": 66643,
      "title": "Albumentations",
      "comment_count": 18,
      "views": 0,
      "votes": 229
    },
    {
      "id": 65938,
      "title": "A Pytorch implementation of Focal Loss",
      "comment_count": 7,
      "views": 0,
      "votes": 90
    },
    {
      "id": 122822,
      "title": "A semantic segmentation toolbox using pytorch",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64900,
      "title": "How to extablish the Lovasz loss for keras?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 63710,
      "title": "I'm trying to use pre-trained model, but images are single channel",
      "comment_count": 20,
      "views": 0,
      "votes": 9
    },
    {
      "id": 65253,
      "title": "how to use 5-fold in keras, use  ImageDataGenerator and model.fit_generator?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63167,
      "title": "How can I save and reuse a keras model in kernel?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 65046,
      "title": "Model Management",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 66178,
      "title": "Comparison of different squeeze and excitation modules",
      "comment_count": 39,
      "views": 0,
      "votes": 34
    },
    {
      "id": 63044,
      "title": "Keras IoU metric",
      "comment_count": 16,
      "views": 0,
      "votes": 9
    },
    {
      "id": 65387,
      "title": "How to use ResNet34/50 encoder pretrained for Unet in Keras",
      "comment_count": 81,
      "views": 0,
      "votes": 23
    },
    {
      "id": 69232,
      "title": "My part of 15th place solution with code",
      "comment_count": 5,
      "views": 0,
      "votes": 30
    },
    {
      "id": 69178,
      "title": "4th Place Solution（code updated）",
      "comment_count": 40,
      "views": 0,
      "votes": 71
    },
    {
      "id": 68458,
      "title": "Problem with using fastai?",
      "comment_count": 22,
      "views": 0,
      "votes": 3
    },
    {
      "id": 69052,
      "title": "Noob Solution (#136)  with Keras code",
      "comment_count": 14,
      "views": 0,
      "votes": 36
    },
    {
      "id": 88171,
      "title": "Masks ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 69053,
      "title": "9th place solution with code: single model",
      "comment_count": 46,
      "views": 0,
      "votes": 129
    },
    {
      "id": 63817,
      "title": "Keras - Using imgaug's augmentation",
      "comment_count": 23,
      "views": 0,
      "votes": 9
    },
    {
      "id": 64231,
      "title": "using GAN (generative adversarial net) ...",
      "comment_count": 7,
      "views": 0,
      "votes": 34
    },
    {
      "id": 67857,
      "title": "Dice Coefficient similarity",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66568,
      "title": "Improving from 0.84 to 0.86",
      "comment_count": 148,
      "views": 0,
      "votes": 118
    },
    {
      "id": 65226,
      "title": "Improving from 0.78 to 0.84+",
      "comment_count": 192,
      "views": 0,
      "votes": 222
    },
    {
      "id": 64645,
      "title": "comparing different framework (unet, deeplab, linknet, psp, refinenet, etc ...) ",
      "comment_count": 117,
      "views": 0,
      "votes": 65
    },
    {
      "id": 69274,
      "title": "28th place solution: single model",
      "comment_count": 10,
      "views": 0,
      "votes": 30
    },
    {
      "id": 61955,
      "title": "Meaning of rle_mask",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 69165,
      "title": "My model architecture with code | part of the 11th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 36
    },
    {
      "id": 75194,
      "title": "Training deep resnets",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 66922,
      "title": "Multiple outputs from one model, Keras",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 66002,
      "title": "How to apply  Lovász hinge loss in Pytorch",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 69051,
      "title": "[Kent AI Lab | Ding Han | Renan] 5th place solution (code available)",
      "comment_count": 22,
      "views": 0,
      "votes": 72
    },
    {
      "id": 69073,
      "title": "A PyTorch tool for Kagglers",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 69380,
      "title": "Methods/techniques used by top rankers",
      "comment_count": 14,
      "views": 0,
      "votes": 83
    },
    {
      "id": 69694,
      "title": "What't the real meaning of depth?",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 69593,
      "title": "33rd place solution with code (AutoML enabled)",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 70110,
      "title": "open source 60th solution(code)",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 70147,
      "title": "More PyTorch Solutions",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 69664,
      "title": "[Argus] 14th place solution with full PyTorch pipeline",
      "comment_count": 2,
      "views": 0,
      "votes": 46
    },
    {
      "id": 69169,
      "title": "Another top 3% solution",
      "comment_count": 5,
      "views": 0,
      "votes": 30
    },
    {
      "id": 68956,
      "title": "Why organizers make our life harder?",
      "comment_count": 17,
      "views": 0,
      "votes": 42
    },
    {
      "id": 69093,
      "title": "11th place solution writeup",
      "comment_count": 5,
      "views": 0,
      "votes": 48
    },
    {
      "id": 69279,
      "title": "How does not win. 373 place. Reflexion, not technical report.",
      "comment_count": 11,
      "views": 0,
      "votes": 64
    },
    {
      "id": 69434,
      "title": "150th place solution (Boring!)",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 69220,
      "title": "My part of 8th place (Private LB) solution ",
      "comment_count": 18,
      "views": 0,
      "votes": 62
    },
    {
      "id": 69067,
      "title": "30th: strong baseline with no post-processing",
      "comment_count": 9,
      "views": 0,
      "votes": 42
    },
    {
      "id": 69377,
      "title": "107-th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 68949,
      "title": "The real problem?",
      "comment_count": 28,
      "views": 0,
      "votes": 38
    },
    {
      "id": 69136,
      "title": "fast.ai student's 264th place solution with code",
      "comment_count": 9,
      "views": 0,
      "votes": 24
    },
    {
      "id": 69095,
      "title": "[126th place] simple solution overview with code",
      "comment_count": 3,
      "views": 0,
      "votes": 26
    },
    {
      "id": 69292,
      "title": "26th place solution (resnet34)",
      "comment_count": 3,
      "views": 0,
      "votes": 27
    },
    {
      "id": 69386,
      "title": "When are the medals coming?",
      "comment_count": 21,
      "views": 0,
      "votes": 10
    },
    {
      "id": 68878,
      "title": "Rule of thumb",
      "comment_count": 38,
      "views": 0,
      "votes": 29
    },
    {
      "id": 69248,
      "title": "74th place solution & code (Wider ResNet 38 encoder)",
      "comment_count": 1,
      "views": 0,
      "votes": 29
    },
    {
      "id": 68190,
      "title": "Can someone help with Hypercolumn in Keras",
      "comment_count": 14,
      "views": 0,
      "votes": 2
    },
    {
      "id": 69039,
      "title": "[ods.ai] Power Fist solution and data explanation (11th public -> 43rd private)",
      "comment_count": 5,
      "views": 0,
      "votes": 81
    },
    {
      "id": 69175,
      "title": "236-th place solution null+Hflip TTA, single model, single fold, single snapshot, no pseudolabel",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 69160,
      "title": "32nd solution with code",
      "comment_count": 12,
      "views": 0,
      "votes": 16
    },
    {
      "id": 69407,
      "title": "advice to a beginner",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 69278,
      "title": "So top teams used pytorch?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 69041,
      "title": "Thread of what didn't work",
      "comment_count": 29,
      "views": 0,
      "votes": 10
    },
    {
      "id": 68993,
      "title": "performance of various methods",
      "comment_count": 36,
      "views": 0,
      "votes": 21
    },
    {
      "id": 67867,
      "title": "I messed up!",
      "comment_count": 21,
      "views": 0,
      "votes": 23
    },
    {
      "id": 69047,
      "title": "both leaderboard + 0.002 (data distill)",
      "comment_count": 14,
      "views": 0,
      "votes": 17
    },
    {
      "id": 68982,
      "title": "Another Rule Of Thumb",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 69168,
      "title": "Animation of my submit evolution",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 69060,
      "title": "54th Solution: minimum post-processing",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 69155,
      "title": "Algorithms besides CNNs?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 69369,
      "title": "additional transformations of dataset part",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 69471,
      "title": "not on the public leaderboard",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 69179,
      "title": "A way to overfit private(Public:0.856=>Private:0.888)",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 69086,
      "title": "Best Score without Jigsaw",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 68935,
      "title": "U-net with simple ResNet Blocks [Augmentation]",
      "comment_count": 45,
      "views": 0,
      "votes": 12
    },
    {
      "id": 69061,
      "title": "Why the difference of score between public and private LB",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 69142,
      "title": "what is really \"depth\"?",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 68615,
      "title": "Heng code",
      "comment_count": 31,
      "views": 0,
      "votes": 25
    },
    {
      "id": 69243,
      "title": "Some post-competition ideas",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 64367,
      "title": "Attention-based unet",
      "comment_count": 13,
      "views": 0,
      "votes": 34
    },
    {
      "id": 66458,
      "title": "how to use multi gpu in keras",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 69054,
      "title": "Did anyone get boost from post-processing based on jigsaw?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 68435,
      "title": "Deep Supervision",
      "comment_count": 83,
      "views": 0,
      "votes": 22
    },
    {
      "id": 68619,
      "title": "Computing time cost sharing",
      "comment_count": 25,
      "views": 0,
      "votes": 11
    },
    {
      "id": 65933,
      "title": "binary empty vs non-empty classifier",
      "comment_count": 138,
      "views": 0,
      "votes": 64
    },
    {
      "id": 69025,
      "title": "Competition Close Announcement",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 69132,
      "title": "What worked and what didn't for us",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 69131,
      "title": "pudae - Heng - bestfitting",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 69046,
      "title": "Thank You!",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 69111,
      "title": "Where is 0.84+ single fold/no mosaic kernel, Guys?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 68970,
      "title": "What is the private LB shakeup potential?",
      "comment_count": 17,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66940,
      "title": "Salt Jigsaw Puzzles",
      "comment_count": 73,
      "views": 0,
      "votes": 92
    },
    {
      "id": 68984,
      "title": "Want to know why?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 69049,
      "title": "Thanks for the competition!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 69058,
      "title": "Val loss and lovasz hinge",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 69045,
      "title": "The result at the top is too volatile ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 68305,
      "title": "Postprocessing",
      "comment_count": 13,
      "views": 0,
      "votes": 11
    },
    {
      "id": 67699,
      "title": "Open Solution - Fastai - LB 0.82+",
      "comment_count": 81,
      "views": 0,
      "votes": 29
    },
    {
      "id": 68892,
      "title": "Difference in single and multi GPU model?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 69029,
      "title": "Gradient clipping for divide by 0 errors in deep supervision",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 68724,
      "title": "Multiple GPU Or Not?",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 68440,
      "title": "Ideas for a Noob?",
      "comment_count": 35,
      "views": 0,
      "votes": 8
    },
    {
      "id": 68807,
      "title": "Adaptive validation threshold",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 68677,
      "title": "Training diverges with deep supervision",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 68779,
      "title": "Threshold for Mask",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 68766,
      "title": "Problems with TTA",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 67998,
      "title": "Learning the bad masks?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 68450,
      "title": "Final call to Depth!",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 68696,
      "title": "This must be a novice problem~But I still want to Konw~(Welcome to Pytorch Users)",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 68589,
      "title": "Unstable learning.",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 67762,
      "title": "to not break 'no private sharing outside of teams'...",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 68478,
      "title": "how similar are train and test images",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 68524,
      "title": "is there an open source code for doing Jigsaw puzzle in python? ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 68264,
      "title": "Keras and augmentation",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 68413,
      "title": "Can not create second submission",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 67917,
      "title": "How to embed se block in your pytorch resnet-34~",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 67950,
      "title": "Big ideas for the last two weeks (/where to spend one's time)?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 68211,
      "title": "Augmentations that works!",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 68497,
      "title": "Hi, How can I add the depth information to my model?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 68461,
      "title": "Periodic boundary conditions?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 66924,
      "title": "Lovasz loss, probability calibration and threshold",
      "comment_count": 8,
      "views": 0,
      "votes": 22
    },
    {
      "id": 68419,
      "title": "Do we need to submit the code?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 68394,
      "title": "Paper: Finding the correct learning rate",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 67408,
      "title": "Lost kernel",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 68033,
      "title": "Little fun chart",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 68251,
      "title": "Submission error: ERROR: Record XXX had 3 columns but expected 2",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62834,
      "title": "I have a good score in keras loss/val_loss but terrible score in competition",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 68318,
      "title": "Need help: input dims",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 67436,
      "title": "first attempt of knowledge distillation",
      "comment_count": 11,
      "views": 0,
      "votes": 18
    },
    {
      "id": 67217,
      "title": "StratifiedKFold with lovasz_loss",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 68119,
      "title": "Kernel enters cycle, till out of memory: why?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 68035,
      "title": "Need help: beginner",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 67058,
      "title": "unnatural Histogram",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 67330,
      "title": "SWA in Keras",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 67668,
      "title": "My Random Forest kernel",
      "comment_count": 6,
      "views": 0,
      "votes": -20
    },
    {
      "id": 66777,
      "title": "Our approach to stacking + some questions [0.840 -> 0.847]",
      "comment_count": 13,
      "views": 0,
      "votes": 14
    },
    {
      "id": 68031,
      "title": "Inaccuracy in binary masks",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 67090,
      "title": "Preventing shakeup/Stabilizing result",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 67714,
      "title": "Lovasz question",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 64776,
      "title": "Best single model without TTA",
      "comment_count": 276,
      "views": 0,
      "votes": 70
    },
    {
      "id": 67616,
      "title": "what happened?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 67878,
      "title": "1x1 and depthwise convolutions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 67693,
      "title": "Fast IOU metric in Numpy and TensorFlow",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 67834,
      "title": "How can I train on larger mask?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 66957,
      "title": "solving kaggle challenge ... prediction don't come from data only",
      "comment_count": 5,
      "views": 0,
      "votes": 44
    },
    {
      "id": 66660,
      "title": "Unstable training with hypercolumns",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 67209,
      "title": "Best evaluation metric for early stopping",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66953,
      "title": "Question about Kaggle Kernel",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 67464,
      "title": "Handling masks when using padding?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66686,
      "title": "Minsk [ODS.ai] Zareshka - roadmap to Silver (at least).",
      "comment_count": 15,
      "views": 0,
      "votes": 42
    },
    {
      "id": 65347,
      "title": "+0.01 LB with snapshot ensembling and cyclic lr",
      "comment_count": 38,
      "views": 0,
      "votes": 56
    },
    {
      "id": 67690,
      "title": "Please help me this newcomer",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 65939,
      "title": "A Pytorch implementation of Squeeze and Excitation block",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 66765,
      "title": "fastai 80+ LB",
      "comment_count": 46,
      "views": 0,
      "votes": 5
    },
    {
      "id": 67702,
      "title": "Public code disclosure thread",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 66992,
      "title": "How to create RLE",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 67253,
      "title": "Different result",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 66146,
      "title": "The implementation of focal loss in Keras",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 67059,
      "title": "using InPlaceABN to save GPU memory ",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 67237,
      "title": "How to use pretrained models with 'input_tensor' (manipulating tensorflow source)",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 67362,
      "title": "Difference between validation score and LB score while using Lovasz loss",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 67369,
      "title": "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 67378,
      "title": "Keras Multi GPU Issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 67257,
      "title": "Averaging IoU Over Multiple Threshold Values",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 66071,
      "title": "LB 82+ using keras",
      "comment_count": 37,
      "views": 0,
      "votes": 0
    },
    {
      "id": 66021,
      "title": "How to design your decoders?",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 66988,
      "title": "Problem using resnet with 3 channels",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 67161,
      "title": "Submission Error",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 67087,
      "title": "adversarial-validation",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 66638,
      "title": "Probabilistic U-Net?",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 66471,
      "title": "Deeplab v3 models?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64010,
      "title": "how to used the file depths.csv?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 67013,
      "title": "can any one help ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 66806,
      "title": "How to ensemble correctly?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 66842,
      "title": "Question on Padding",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65370,
      "title": "Resnet34 parameters limiting batch size",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 66864,
      "title": "Different rle_mask",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 66845,
      "title": "Pre trained networks bug",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 66514,
      "title": "Kaggle kernel Problem",
      "comment_count": 9,
      "views": 0,
      "votes": 17
    },
    {
      "id": 66465,
      "title": "Choosing thresholds for prediction",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 65853,
      "title": "OCNet is out",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 66535,
      "title": "lovasz_loss always 1 and iou always 0.3900",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 66496,
      "title": "How to do K-folds with Keras",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 66407,
      "title": "nan values in coverage class - data changed?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 66316,
      "title": "Gap between local score and lb",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66346,
      "title": "AdamW regularization",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61949,
      "title": "Open Solution Journal [LB 0.849]",
      "comment_count": 264,
      "views": 0,
      "votes": 74
    },
    {
      "id": 61968,
      "title": "Pre-Trained Model Disclosure Thread",
      "comment_count": 51,
      "views": 0,
      "votes": 34
    },
    {
      "id": 66157,
      "title": "restarting training not working in Keras",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 66236,
      "title": "Image and mask pre-processing",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64335,
      "title": "results for deeper models (se-resnext, dpn, densenet, etc )",
      "comment_count": 10,
      "views": 0,
      "votes": 21
    },
    {
      "id": 64804,
      "title": "beyond CRF? Adaptive Affinity Fields for Semantic Segmentation",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 66461,
      "title": "do with about the depth feature",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65763,
      "title": "how to stack 2nd layer of CNN ... with limited train data",
      "comment_count": 12,
      "views": 0,
      "votes": 16
    },
    {
      "id": 66442,
      "title": "Public LB page unresponsive",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66253,
      "title": "Incorporate depth via depth excitation",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63974,
      "title": "Augmentation that works",
      "comment_count": 134,
      "views": 0,
      "votes": 96
    },
    {
      "id": 64943,
      "title": "The power of a good loss function (+0.006) - Which do you use?",
      "comment_count": 35,
      "views": 0,
      "votes": 36
    },
    {
      "id": 64093,
      "title": "some baseline performances and  observations ",
      "comment_count": 3,
      "views": 0,
      "votes": 28
    },
    {
      "id": 66324,
      "title": "How to optimize \"New layer\" weights?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 66152,
      "title": "Upsampling methods: transposed convolution vs. bilinear upsampling",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 65940,
      "title": "Tricks required to get you from 0.7x to 0.8x",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 66226,
      "title": "What is null + Flip TTA ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66218,
      "title": "salt deposits",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 66245,
      "title": "Colored input vs. replicated gray scale input",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 65556,
      "title": "data observation",
      "comment_count": 11,
      "views": 0,
      "votes": 25
    },
    {
      "id": 65231,
      "title": "Something about learning rate",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 66289,
      "title": "By any chance, did you train Mask RCNN model  with negative images too?  ",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 66187,
      "title": "Strange test images thread (updating)",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 65500,
      "title": "Prepare an auxiliary dataset with a lot small masks",
      "comment_count": 18,
      "views": 0,
      "votes": 15
    },
    {
      "id": 66228,
      "title": "Validation and Training Strategies ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 66118,
      "title": "Some observations",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 63781,
      "title": "Accelerate Rlen computing by 200 times by using Cython",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 65835,
      "title": "how can i make validation score not far from kaggle score ??",
      "comment_count": 12,
      "views": 0,
      "votes": null
    },
    {
      "id": 64875,
      "title": "My painful climb to LB > 0.8",
      "comment_count": 58,
      "views": 0,
      "votes": 114
    },
    {
      "id": 65444,
      "title": "Your best local CV for a reasonable model?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65591,
      "title": "Best practices for cyclic learning rates and SGDR",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 66007,
      "title": "About hard samples",
      "comment_count": 15,
      "views": 0,
      "votes": null
    },
    {
      "id": 66045,
      "title": "Understanding",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 65992,
      "title": "Self-build resnet34 encoders works no good on Lovasz Loss",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 66037,
      "title": "Master thesis: Survey companies about Kaggle competitions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65114,
      "title": "attention PSP",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 66022,
      "title": "How should I design the decoders?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65841,
      "title": "My painful climb to LB > 0.809",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65928,
      "title": "why U-net did not learn anything",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 65810,
      "title": "Visualizing Deep Learning Networks ",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 65949,
      "title": "morphological dilation and erosion of image ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65948,
      "title": "Getting error ! StratifiedKFold",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65941,
      "title": "Best way to smoke test your net before start training",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65234,
      "title": "Using Resnet50 in Keras, pretrained",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65904,
      "title": "Correct way to resize images with reflection padding",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 65905,
      "title": "Rule-based post processing based on topology?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 65826,
      "title": "External Dataset (please ignore, it's not allowed)",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65836,
      "title": "Large batch size helps?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65582,
      "title": "score without pretrained weights?",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65400,
      "title": "Is here anybody use Keras version of renset34 UNET to get score 0.82+?",
      "comment_count": 24,
      "views": 0,
      "votes": 3
    },
    {
      "id": 65859,
      "title": "Cannot read input",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65857,
      "title": "ideas about image size (101x101 -> 224x224 -> 101x101)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65783,
      "title": "Resolution of the images",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 65725,
      "title": "Pytorch vs keras model (LB 81+)",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 65558,
      "title": "Some problem about focal_loss~",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65757,
      "title": "Will PCA or whitening help?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65378,
      "title": "Have anyone tried using Hypercolumn.",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65369,
      "title": "How to use TTA",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 65458,
      "title": "Reproducibility",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 65099,
      "title": "Keras Baseline",
      "comment_count": 33,
      "views": 0,
      "votes": 5
    },
    {
      "id": 65676,
      "title": "Are Keras Pretrained Models working???",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 65402,
      "title": "Newcomers seeking to team up~（0.815 my score Now）",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65185,
      "title": "Did someone use the Keras version of Lovasz_losses to get a score boost?",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65499,
      "title": "preparing submission, time",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 65536,
      "title": "3D shape of salt dome, how to use the depth information？",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 65467,
      "title": "What is the necessary to identify the Salt from Earth Surface? ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 65401,
      "title": "Training with Mean Teacher",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65482,
      "title": "Submission issue : Submitted values must be in ascending order and not overlapping.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 65529,
      "title": "Looking for good models",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65501,
      "title": "Averaging Models",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65286,
      "title": "What does TTA mean ?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 65399,
      "title": "Too much variance: How do you test augmentations?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 64941,
      "title": "CRF within model",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 65318,
      "title": "A good decoder architecture for pretrained encoder",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65263,
      "title": "Dropout increases overfitting?",
      "comment_count": 12,
      "views": 0,
      "votes": null
    },
    {
      "id": 65359,
      "title": "cross validation with depth ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65348,
      "title": "low salt masks score",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 64820,
      "title": "Images are nice...but what about depth?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65217,
      "title": "Things i have noted in discussion so far",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64777,
      "title": "Get .80 or above in LB",
      "comment_count": 27,
      "views": 0,
      "votes": 2
    },
    {
      "id": 65271,
      "title": "Absolutely straight vertical lines in masks?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 65245,
      "title": "How does ndimage.labels and ndimage.find_object work",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65240,
      "title": "29841 Teams participating?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 64973,
      "title": "Ensembling Help",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65205,
      "title": "Creating submission file ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 64435,
      "title": "fluctuation in training loss/metric ",
      "comment_count": 32,
      "views": 0,
      "votes": 15
    },
    {
      "id": 65180,
      "title": "Is the mask unique for a given image?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65152,
      "title": "help with submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65052,
      "title": "Looking for teammates",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65110,
      "title": "about submission format",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65108,
      "title": "Submission image size",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 65088,
      "title": "Hi.Which team want to add member?I want to join a team to participate it.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 64844,
      "title": "Possible explanation for the vertical masks",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 65078,
      "title": "how to properly analyze image data",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64970,
      "title": "Combine image and depth data in Unet ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64762,
      "title": "Multi-GPU for K-folds CV and others tips on Kernel",
      "comment_count": 13,
      "views": 0,
      "votes": 16
    },
    {
      "id": 64591,
      "title": "Averaging Weights Leads to Wider Optima and Better Generalization",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 65031,
      "title": "Is there anyone use the densenet or cliquenet?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64876,
      "title": "About losses",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64868,
      "title": "NeuroIoU: Learning a Surrogate Loss for Semantic Segmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64570,
      "title": "Difference between scores using Resize and Reflection methods",
      "comment_count": 15,
      "views": 0,
      "votes": 6
    },
    {
      "id": 64880,
      "title": "Advice - layer addition or concatenation",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64809,
      "title": "Online resources to train big models",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64771,
      "title": "Kernel GPUs are enough? ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64514,
      "title": "recurrent unet",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 64828,
      "title": "Need resize or not resize",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 64677,
      "title": "Folding solutions using data augmentation with Pytorch",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 64685,
      "title": "Teammate",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 64646,
      "title": "Society of Exploration Geophysicists: Jupyter Notebooks",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 64618,
      "title": "anyone got improved result with depth information",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 62853,
      "title": "Problem with using Fastai",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 64132,
      "title": "Submission issue: Evaluation Exception: Index was outside the bounds of the array.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 64579,
      "title": "Is my gpu sufficient for this competition ?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64339,
      "title": "A Deep Learning Age Starting In Kaggle!",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 61720,
      "title": "Not all masks look good",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 63893,
      "title": "how to train/finetune properly for TGS data",
      "comment_count": 8,
      "views": 0,
      "votes": 31
    },
    {
      "id": 64178,
      "title": "Methods to change image size from 101,101 to 128,128",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64415,
      "title": "Metrics for performance",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64404,
      "title": "slow glcm method",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 63692,
      "title": "Does CumSum Help?",
      "comment_count": 13,
      "views": 0,
      "votes": 5
    },
    {
      "id": 64353,
      "title": "VGG16 on U-NET generalize bad?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 63236,
      "title": "sum RLE_mask does not equal 101^2+1",
      "comment_count": 11,
      "views": 0,
      "votes": -1
    },
    {
      "id": 64221,
      "title": "Wide unet?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64130,
      "title": "Survey - Which ML/NN libraries are you using?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 64111,
      "title": "Problem with encoded masks in train.csv",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 64015,
      "title": "Confusion about Model Structure",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64090,
      "title": "why does it show that Evaluation Exception: The submitted ids must contain all solution ids.  when i upload submission file",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 64083,
      "title": "Is there any learning resources for generative models with keras?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 64039,
      "title": "Group Normalization",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63908,
      "title": "Runtime Error in pytorch",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 61725,
      "title": "What's the deal with empty png files?",
      "comment_count": 19,
      "views": 0,
      "votes": 25
    },
    {
      "id": 63976,
      "title": "TernausNet?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61794,
      "title": "Looking for a Team",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62175,
      "title": "Question regarding image data",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 61647,
      "title": "What the depth for each image corresponds to? ",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63897,
      "title": "imgaug - weird PieceWiseAffine?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63932,
      "title": "Keras metrics",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 63928,
      "title": "Kernel fundamentals question about commit",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 63824,
      "title": "Anybody tried submitting zero mask for all test images?",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 63459,
      "title": "Is the score difference a question of computational power?",
      "comment_count": 26,
      "views": 0,
      "votes": 7
    },
    {
      "id": 63658,
      "title": "Difficulty with large pre-trained model",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63644,
      "title": "(bug?) Anyone using Keras pretrained models as encoder?",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63810,
      "title": "IoU Threshold ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 63796,
      "title": "How were the training images labeled?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 61615,
      "title": "This is ethically dubious",
      "comment_count": 12,
      "views": 0,
      "votes": 11
    },
    {
      "id": 63018,
      "title": "How to manage overfitting for segmentation problem?",
      "comment_count": 26,
      "views": 0,
      "votes": 2
    },
    {
      "id": 63342,
      "title": "Marine or Land seismic acquisition?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 63533,
      "title": "High scorers without pre-trained model?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 63549,
      "title": "How to use pretrained models?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62717,
      "title": "Metric Explanation",
      "comment_count": 15,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63496,
      "title": "Rules clarification",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 63370,
      "title": "Criteria for ensembling Neural Nets",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 63440,
      "title": "How we use more feature map?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 63404,
      "title": "Are part of the images in pairs?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 62554,
      "title": "Why there is salt body mask and T1 salt mask ? ? ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 62282,
      "title": "Scale of the data (edited)",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 63169,
      "title": "Order of layers in NN models",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61521,
      "title": "Evaluation metric clarification",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 63192,
      "title": "3 dimension mask Image is giving an error",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 62162,
      "title": "(Open solution journal) friendly request for team \"Neptune ML\"",
      "comment_count": 26,
      "views": 0,
      "votes": 50
    },
    {
      "id": 63220,
      "title": "Which loss function to use?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 61845,
      "title": "External Data",
      "comment_count": 20,
      "views": 0,
      "votes": 14
    },
    {
      "id": 61840,
      "title": "Augmentation",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 62226,
      "title": "Can anyone do the segmentation by human eyes?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62996,
      "title": "What is UNET abstracting",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 61998,
      "title": "Types of Data Augmentation?",
      "comment_count": 13,
      "views": 0,
      "votes": 12
    },
    {
      "id": 62628,
      "title": "What are your ideas for using depth?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 63022,
      "title": "This kernel is still running. The page will refresh when the results are ready.",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 62745,
      "title": "Question about depth",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 62903,
      "title": "Looking for a teammate.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62323,
      "title": "Submission format for all black prediction",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 62661,
      "title": "About Loss Functions",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 62709,
      "title": "Discrepancy pycoco score and LB",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 62749,
      "title": "Evaluation Exception: The submitted ids must contain all solution ids.",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 62261,
      "title": "Loss vs Val_Loss",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61514,
      "title": "Anyone Tried RCNN?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 61954,
      "title": "Relationship between mask and images",
      "comment_count": 10,
      "views": 0,
      "votes": null
    },
    {
      "id": 62482,
      "title": "How to use Pretrained Unet  + VGG16 for TGS Salt Identification?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62021,
      "title": "Black Images",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 62199,
      "title": "Validation strategy",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61798,
      "title": "Unet vs RCNN",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 62096,
      "title": "Submitted values must be in ascending order and not overlapping.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 61934,
      "title": "Alternative models?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61958,
      "title": "Looking for Teammates",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 61592,
      "title": "What does the images represent?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 61805,
      "title": "Quick run-length converter?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 61799,
      "title": "How were the masks created ?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 61961,
      "title": "Processor for TGS Salt ?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 61896,
      "title": "Pre-trained models thread",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61865,
      "title": "Why cumsum?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61642,
      "title": "Seeking a teammate ",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 61486,
      "title": "\"Similar past competitions\" and \"useful resources\"!",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 61682,
      "title": "Mask?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 61568,
      "title": "The search for Salt !! - Resources Discussion !!",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 61494,
      "title": "Baseline-model, to start with",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 61579,
      "title": "How were the images interpreted?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    }
  ],
  "errors": []
}