{
  "total": 476,
  "topics": [
    {
      "id": 84618,
      "title": "Preparing for the Next Competition - Late 2019",
      "comment_count": 2,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 117489,
      "title": "Analysis of the 2018 Data Science Bowl is now published!",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 47864,
      "title": "Availability of the images & how to cite",
      "comment_count": 42,
      "views": 0,
      "votes": 54,
      "reused": true
    },
    {
      "id": 55228,
      "title": "Change of Course - Leaderboard Reinstatement",
      "comment_count": 112,
      "views": 0,
      "votes": 75,
      "reused": true
    },
    {
      "id": 47572,
      "title": "Official External Data Thread",
      "comment_count": 151,
      "views": 0,
      "votes": 50,
      "reused": true
    },
    {
      "id": 56316,
      "title": "2018 Data Science Bowl Winners Announced",
      "comment_count": 7,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 54797,
      "title": "You Voted: 2018 Data Science Bowl Kernel Winners",
      "comment_count": 11,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 47770,
      "title": "Thread to post data quality issues",
      "comment_count": 123,
      "views": 0,
      "votes": 46,
      "reused": true
    },
    {
      "id": 50518,
      "title": "Posting fixed images and masks to github",
      "comment_count": 36,
      "views": 0,
      "votes": 123,
      "reused": true
    },
    {
      "id": 51814,
      "title": "for your reading: \"Deep learning for biology\"",
      "comment_count": 8,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 47880,
      "title": "One or more submitted values exceeded the image dimensions.",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53194,
      "title": "Submission Error, submitted csv has rows with odd number of values",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54838,
      "title": "My Solution 11th place (LB 0.590)",
      "comment_count": 38,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 54835,
      "title": "14th place insight (LB 0.578)",
      "comment_count": 11,
      "views": 0,
      "votes": 31,
      "reused": true
    },
    {
      "id": 56326,
      "title": "5th place solution (based only on Mask-RCNN)",
      "comment_count": 35,
      "views": 0,
      "votes": 81,
      "reused": true
    },
    {
      "id": 47690,
      "title": "mask-rcnn and instance segmentation network",
      "comment_count": 40,
      "views": 0,
      "votes": 54,
      "reused": true
    },
    {
      "id": 236876,
      "title": "How are the masks created in real life? ",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 201139,
      "title": "concatenating all mask images by using one line of code",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 53940,
      "title": "which augmentation works?",
      "comment_count": 19,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 50428,
      "title": "SSD with a mask head (pytorch)",
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      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 54741,
      "title": "[ods.ai] topcoders, 1st place solution",
      "comment_count": 118,
      "views": 0,
      "votes": 369,
      "reused": true
    },
    {
      "id": 172065,
      "title": "Detect (bounding box) cells separately by using Unet",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54089,
      "title": "Matterport Mask-RCNN Code [LB 0.476]",
      "comment_count": 94,
      "views": 0,
      "votes": 101,
      "reused": true
    },
    {
      "id": 53495,
      "title": "Image augmentation in matterport's mask_rcnn.",
      "comment_count": 22,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 47699,
      "title": "Understanding run-length encoded representation?",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 47640,
      "title": "3 different modalities? Why?",
      "comment_count": 26,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 134585,
      "title": "U-NET for iris recognition ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53410,
      "title": "How to use keras image augmentation in matterport's maskrcnn?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49406,
      "title": "What are Encoded pixels?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 54149,
      "title": "Dice Score vs IOU",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 106974,
      "title": "Stage 2 Test Data Evaluation",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 47615,
      "title": "Curing cancer",
      "comment_count": 18,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 50744,
      "title": "Matterport' s Mask R-CNN: what went wrong? ",
      "comment_count": 22,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 53588,
      "title": "Pytorch Mask RCNN",
      "comment_count": 37,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 49692,
      "title": "mask-rcnn in pytorch from scratch [LB 0.463]!",
      "comment_count": 329,
      "views": 0,
      "votes": 190,
      "reused": true
    },
    {
      "id": 54751,
      "title": "What is [ods.ai]?",
      "comment_count": 18,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 56393,
      "title": "3th place on private LB: Matterport's Mask-RCNN",
      "comment_count": 14,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 54190,
      "title": "Tip for those using Google Drive to store datasets",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 55118,
      "title": "Our solution, 4th place on the private LB",
      "comment_count": 32,
      "views": 0,
      "votes": 115,
      "reused": true
    },
    {
      "id": 54310,
      "title": "Stage2 test image dimensions",
      "comment_count": 15,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 47686,
      "title": "[pytorch starter kit] -LB 0.311",
      "comment_count": 67,
      "views": 0,
      "votes": 106,
      "reused": true
    },
    {
      "id": 55602,
      "title": "Any results with a discriminative loss function?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54575,
      "title": "Cheating is encouraged, it should not.",
      "comment_count": 123,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 82980,
      "title": "Dataset license",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54426,
      "title": "UNet without Ensemble : Public LB 0.504",
      "comment_count": 64,
      "views": 0,
      "votes": 68,
      "reused": true
    },
    {
      "id": 61170,
      "title": "2nd place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 54484,
      "title": "Adversarial example",
      "comment_count": 6,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 50359,
      "title": "new unet paper for instance cell segementation",
      "comment_count": 10,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 75488,
      "title": "Top 5 models deploy ",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 72702,
      "title": "Have you ever suspected the dataset?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54764,
      "title": "Should we release the list of stage 2 test images used for scoring?",
      "comment_count": 32,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 48347,
      "title": "Annotation strategy 1: Hand-outlining using GIMP",
      "comment_count": 7,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 51553,
      "title": "IoU in Keras",
      "comment_count": 7,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 49219,
      "title": "Evaluation Exception: Index was outside the bounds of the array.",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 49220,
      "title": "Evaluation Exception: The submitted ids must contain all solution ids.",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 63934,
      "title": "SOA Segmantic Separation asof 5/2018",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 50903,
      "title": "Full submission pipeline based on matterport Mask-RCNN [LB 0.361]",
      "comment_count": 63,
      "views": 0,
      "votes": 54,
      "reused": true
    },
    {
      "id": 47982,
      "title": "What's your best single model?",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 50444,
      "title": "Help ! GPU Performance problem",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55021,
      "title": "Winner Solutions?",
      "comment_count": 10,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 61300,
      "title": "Weighted loss function in keras ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 54382,
      "title": "All stage1 submission scores  shown as error!",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59841,
      "title": "Unable to Process Late Submission",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 60841,
      "title": "submission failure",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57709,
      "title": "Team 42’s solution and food for thought [LB: 0.623 late submission]",
      "comment_count": 12,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 54934,
      "title": "LB entry has been removed",
      "comment_count": 18,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 57044,
      "title": "Publication plans",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 51167,
      "title": "a new cvpr 2018 mask-rcnn improvement paper",
      "comment_count": 31,
      "views": 0,
      "votes": 39,
      "reused": true
    },
    {
      "id": 56238,
      "title": "10th place Code+Datasets (LB: 0.591) Mask R-CNN single model  ",
      "comment_count": 3,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 54898,
      "title": "Congratulation to Heng CherKeng becoming Discussion Grandmaster",
      "comment_count": 17,
      "views": 0,
      "votes": 56,
      "reused": true
    },
    {
      "id": 54742,
      "title": "UNet Nuke Solution (#68 LB)",
      "comment_count": 20,
      "views": 0,
      "votes": 51,
      "reused": true
    },
    {
      "id": 55907,
      "title": "Problems with a weighted loss for a multi output Unet",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55860,
      "title": "Cannot submit anymore",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55407,
      "title": "Late Submission - which stage?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47590,
      "title": "Open Solution Journal [LB 0.442]",
      "comment_count": 194,
      "views": 0,
      "votes": 216,
      "reused": true
    },
    {
      "id": 54923,
      "title": "repeating topcoders unet results",
      "comment_count": 19,
      "views": 0,
      "votes": 59,
      "reused": true
    },
    {
      "id": 54759,
      "title": "Thank you and Credits for the images used in this challenge",
      "comment_count": 15,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 55034,
      "title": "Stage 2 Removal appeal process and admins performance evaluation",
      "comment_count": 46,
      "views": 0,
      "votes": 74,
      "reused": true
    },
    {
      "id": 55313,
      "title": "Did you see your score when you were submitting stage2?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55340,
      "title": "Does stage2_solution.csv exist? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 55131,
      "title": "Kaggle legal department's view on Stage 2 disqualification",
      "comment_count": 8,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 55230,
      "title": "Today’s Data Scientists are Tomorrow's Leaders ",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 55062,
      "title": "Model Upload Requirement for 2-Stage Competitions",
      "comment_count": 73,
      "views": 0,
      "votes": -49,
      "reused": true
    },
    {
      "id": 54743,
      "title": "Would the medals be updated?",
      "comment_count": 11,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 54432,
      "title": "Rules of Stage2",
      "comment_count": 48,
      "views": 0,
      "votes": 35,
      "reused": true
    },
    {
      "id": 55036,
      "title": "Comp540_Rice",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55141,
      "title": "Combining the outputs of a multi-channel unet",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 55096,
      "title": "Can someone please point me to the \"upload model\"?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50153,
      "title": "Very confused by RLE Encoding and LB Results...",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55092,
      "title": "Kaggle mismanages $50+ million of research ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 54704,
      "title": "Stay-Tuned for the Official Winner Announcement!",
      "comment_count": 7,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 55055,
      "title": "What is the point of uploading a model...",
      "comment_count": 3,
      "views": 0,
      "votes": -3,
      "reused": true
    },
    {
      "id": 54920,
      "title": "Comparison of Matterport Mask RCNN parameters across contestants",
      "comment_count": 7,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 54790,
      "title": "Capsule Network",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 55060,
      "title": "Kaggle Disqualifies 50% of Teams Without Proper Explanation",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 55059,
      "title": "How about adding weights to stage 1&2 scores",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54972,
      "title": "Why my rank cancelled?",
      "comment_count": 36,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 55017,
      "title": "The Stage2 Top left pixel benchmark earns a bronze medal.",
      "comment_count": 8,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 54703,
      "title": "Did retraining with stage1 test labels help?",
      "comment_count": 8,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 55041,
      "title": "This is what to do if removed from LB (for unknown reason)",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 55012,
      "title": "Stage2 LB: Only 364 out of 816 teams on the LB as of 04/20/2018 ",
      "comment_count": 10,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 54959,
      "title": "Stage 2 Verification Rules",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 54735,
      "title": "post submission results",
      "comment_count": 28,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 54954,
      "title": "Bug in LB display?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 54900,
      "title": "Annotation strategies used",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 54918,
      "title": "Deformable Covolutions in the Autoencoder",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 54692,
      "title": "Whew",
      "comment_count": 11,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 54852,
      "title": "matterport's \"compute_ap\" question",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54372,
      "title": "Lesson learned and moving forward",
      "comment_count": 37,
      "views": 0,
      "votes": 70,
      "reused": true
    },
    {
      "id": 54779,
      "title": "What’s possible?",
      "comment_count": 12,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 54816,
      "title": "Hybrid MaskRCNN + UNet solution LB 0.525 (including source code)",
      "comment_count": 6,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 54696,
      "title": "UNet vs Mask RCNN",
      "comment_count": 31,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 54700,
      "title": "Congrats to the top 5 and all!",
      "comment_count": 50,
      "views": 0,
      "votes": 53,
      "reused": true
    },
    {
      "id": 54771,
      "title": "FYI: automatically detect and localize tumors as small as 100 ×100 pixels in gigapixel microscopy images",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 54739,
      "title": "List of stage 2 test images used in scoring",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 54718,
      "title": "ground truth for stage2 labels",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 54707,
      "title": "Leaving out IDs for Images with no Nuclei",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54738,
      "title": "Do Future Submissions Allow?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54366,
      "title": "Humorous take on Stage 2",
      "comment_count": 24,
      "views": 0,
      "votes": 81,
      "reused": true
    },
    {
      "id": 54736,
      "title": "How important was external data?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 54730,
      "title": "Instance Segmentation is Awesome!",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 54701,
      "title": "will the final score be selected base on private score?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54702,
      "title": "Help! My submissions have the problem",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54697,
      "title": "Private Leaderboard issues",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54706,
      "title": "Stage 1 Test Masks",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53720,
      "title": "my solution : moving from 0.500 onwards",
      "comment_count": 94,
      "views": 0,
      "votes": 61,
      "reused": true
    },
    {
      "id": 54699,
      "title": "UNet Results",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54563,
      "title": "Fyi: there is a cvpr2018 workshop on microsopy",
      "comment_count": 6,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 54353,
      "title": "post your stage2 test results here",
      "comment_count": 33,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 54599,
      "title": "Our solution sketch: public LB 0.512",
      "comment_count": 4,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 54698,
      "title": "Number of rows in your best submission",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 54694,
      "title": "Congrats to winners!",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 54693,
      "title": "Congrats to the winners!!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 54691,
      "title": "My selection does not show (never mind)",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54689,
      "title": "Error: Index was outside the bounds of the array.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54537,
      "title": "Thoughts on generalizability",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 54161,
      "title": "Potential anomalies in Kaggle competition scoring",
      "comment_count": 14,
      "views": 0,
      "votes": -3,
      "reused": true
    },
    {
      "id": 54295,
      "title": "The test2 images are indeed different ...",
      "comment_count": 80,
      "views": 0,
      "votes": 32,
      "reused": true
    },
    {
      "id": 54684,
      "title": "Index was outside the bounds of the array.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54678,
      "title": "Submit format?",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54672,
      "title": "Medals",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54598,
      "title": "\"Index was outside the bounds of the array\" error on stage2 data",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54595,
      "title": "Future submissions to this competition after its closure (on 16 April 2018)",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 54307,
      "title": "Did Allen Draw This in Art Class?",
      "comment_count": 24,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 54500,
      "title": "FYI: Capsule Net for Object Segmentation",
      "comment_count": 3,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 54638,
      "title": "stage2-model update issue",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54569,
      "title": "Evaluation Exception error",
      "comment_count": 12,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54577,
      "title": "Concise List of Papers For Nuclei Segmentation",
      "comment_count": 3,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 54588,
      "title": "how many gold medals will be? (stage1 or 2)",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54365,
      "title": "为啥都是０分？",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 54565,
      "title": "What will be the rank for this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54527,
      "title": "Why this confusion in the first place ? My feedback and a few suggestions.",
      "comment_count": 6,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 54428,
      "title": "How to participate in Stage2 without uploaded model",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54502,
      "title": "How long did you make a submission on stage2_test?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54476,
      "title": "stage1_test - masks",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54558,
      "title": "Is anyone else's model submission not showing up in the teams page?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54480,
      "title": "how to handle zero detection?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 54370,
      "title": "Beware this two false .pngs",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 54429,
      "title": "newbie winning strategy",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54455,
      "title": "Little scientific benefit?",
      "comment_count": 3,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 54545,
      "title": "Stage 1 results (leaderboard) , need to prove LB",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54470,
      "title": "Select your submissions",
      "comment_count": 13,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 54535,
      "title": "Current LB order",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54421,
      "title": "Fast image type clustering with imagecluster package",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54485,
      "title": "Training data selection and augmentation: could the organizers please clarify the rules?",
      "comment_count": 20,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 54493,
      "title": "Do you see your private LB score?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54375,
      "title": "new images with only 2 dimensions",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54315,
      "title": "Stage two scores",
      "comment_count": 16,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 54409,
      "title": "On Stage 2",
      "comment_count": 28,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 54436,
      "title": "will kaggle choose the our best submission?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54463,
      "title": "test2 labels fail",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54309,
      "title": "Questions on stage1 test labels",
      "comment_count": 10,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 54408,
      "title": "Evaluation Exception: The submitted ids must contain all solution ids.",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54299,
      "title": "Retrain with stage 1 test data allowed? Are masks provided?",
      "comment_count": 13,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 54492,
      "title": "should I take this kind of picture as empty mask???",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54489,
      "title": "Stage 2 submissions: could the organizers please clarify the rules?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54371,
      "title": "RLE scoring question for zero masks",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54449,
      "title": "Are we allowed to write new code to process released stage1 masks?",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 54482,
      "title": "leader board all zeroes",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54434,
      "title": "Failed submission?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54471,
      "title": "Model upload page during stage 2",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 54391,
      "title": "Channels that don't look like nuclei stains",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54469,
      "title": "How to deal with no instance existing",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54306,
      "title": "Stage 1 Test Images and Masks uploaded to github",
      "comment_count": 10,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 54422,
      "title": "What's wrong with my scores?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54441,
      "title": "Will the evaluation script be released after the competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54448,
      "title": "how do u handle test2 images that your model detect nothing? ",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54348,
      "title": "Strange challenge",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 54419,
      "title": "Of Possible Interest",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54423,
      "title": "Attribute Error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54332,
      "title": "Really want to know Allen's LB Position",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 48136,
      "title": "Will the stage 2 test set contain images from different image sets than stage 1 training/test? ",
      "comment_count": 33,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 54406,
      "title": "Will there be images in the stage2 where the ground truth is no nuclei?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54403,
      "title": "Tensorboard w/ Matterport's Mask RCNN",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54376,
      "title": "Getting Evaluation Exception Suddenly",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54328,
      "title": "Adversarial Attack !?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54350,
      "title": "All the scores in stage2 are zeros？",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54331,
      "title": "error : all my submission stage 1",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54316,
      "title": "What is the nuclei on these images",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 54311,
      "title": "Are we still allowed to make 5 submissions each day for the next 5 days?",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 54346,
      "title": "Is there some images that actually doesn't have any nuclei??",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54330,
      "title": "Why straight 0.000s in leaderboard?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54325,
      "title": "about forgetting upload model and code issues",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54322,
      "title": "I got 266 gray images test my model with nothing detected!!!",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 54323,
      "title": "How many images used in LB evaluation?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54314,
      "title": "Stage 2: only csv file of stage 1 test is released, no masks",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54303,
      "title": "Stage 2 Data Problems With The Matterport Implementation",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54308,
      "title": "Visualizing the stage1_test solution",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 54296,
      "title": "I need run-length decoder!",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54304,
      "title": "upload issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54203,
      "title": "submit two models",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 54128,
      "title": "upload model issue",
      "comment_count": 27,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 54301,
      "title": " Ground truth mask from stage1_solution.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 54297,
      "title": "Model Upload Issues...",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54125,
      "title": "Misleading official email",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 54097,
      "title": "the color images, my results",
      "comment_count": 16,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 52385,
      "title": "Confusion about contest Timeline/April 11 deadline...",
      "comment_count": 13,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 54265,
      "title": "Submission Issue ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54151,
      "title": "Why upload the newest model but it still shows the previous one!!!Anyone can explain?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 48130,
      "title": "My notebook",
      "comment_count": 152,
      "views": 0,
      "votes": 194,
      "reused": true
    },
    {
      "id": 53798,
      "title": "Beware! Matterport MaskRCNN resize bug",
      "comment_count": 14,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 54217,
      "title": "Are there any restrictions on what we can submit in stage 2 ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54163,
      "title": "Can we still submit results on stage1 test after the deadline of stage1?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 51563,
      "title": "U-Net Vs Mask R-CNN",
      "comment_count": 58,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 54134,
      "title": "MaskRCNN for Nuclei Detection on Google Colab (LB=0.382)",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 54108,
      "title": "Submission Error",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54079,
      "title": "Can the number of training epochs be determined manually in stage 2?",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 53736,
      "title": "What should my model learn to find, the cells or the nuclei or both?",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 54049,
      "title": "Kaggle scoring issue faced",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53984,
      "title": "Problems training a multi output Unet",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 53705,
      "title": "\"Miss-the-target\" issue and ways to improve Mask-RCNN?",
      "comment_count": 16,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 52766,
      "title": "Why is it difficult to achieve Allen's results of LB 0.634",
      "comment_count": 56,
      "views": 0,
      "votes": 51,
      "reused": true
    },
    {
      "id": 54029,
      "title": "Confusing precision definition in evaluation metric",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 53843,
      "title": "Data Science Bowl Deadlines",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 53833,
      "title": "Faster training with group normalization",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 53284,
      "title": "Across three stages in Mask-RCNN, how many epochs do we need actually for this competition?",
      "comment_count": 25,
      "views": 0,
      "votes": null
    },
    {
      "id": 53986,
      "title": "FYI: MULTICLASS WEIGHTED LOSS FOR INSTANCE SEGMENTATION OF CLUTTERED CELLS",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53831,
      "title": "How to prepare external  BBBC006 dataset ?",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47821,
      "title": "stage-2 question: Is semi-supervise learning allowed?",
      "comment_count": 7,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 53971,
      "title": "Metrics",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53644,
      "title": "Consistency of human annotation?",
      "comment_count": 13,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 53893,
      "title": "Stage2 questions: Re-train with stage1 test release after 04/11",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 53888,
      "title": "What is the LB vs validation score?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53134,
      "title": "data leak ???",
      "comment_count": 20,
      "views": 0,
      "votes": 31,
      "reused": true
    },
    {
      "id": 50610,
      "title": "Which code base you use for mask rcnn and what score?",
      "comment_count": 121,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 53864,
      "title": "How could we segment some big nuclei in testing set? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 51106,
      "title": "Overfitting",
      "comment_count": 22,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 52566,
      "title": "Evaluation Exception: Submitted values must be in ascending order and not overlapping.",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53808,
      "title": "Training loss does not go down",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 53858,
      "title": "LEVER Software for segmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 50795,
      "title": "Strategy for winning",
      "comment_count": 50,
      "views": 0,
      "votes": 99,
      "reused": true
    },
    {
      "id": 53663,
      "title": "Typical MaskRCNN Loss Function Values for this problem?",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 52621,
      "title": "faster-rcnn + crop image + mask estimation",
      "comment_count": 12,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 53791,
      "title": "Model Programming Language",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53722,
      "title": "probe the LB test data",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 49805,
      "title": "Config file for Matterport Mask RCNN implementation - 0.362 LB on 8 epochs for 'heads'",
      "comment_count": 68,
      "views": 0,
      "votes": 54,
      "reused": true
    },
    {
      "id": 53337,
      "title": "Images for evaluating generalization",
      "comment_count": 9,
      "views": 0,
      "votes": 32,
      "reused": true
    },
    {
      "id": 53786,
      "title": "FYI : transferred labeling",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 53620,
      "title": "Does multi-gpu mode help speed up training using matterport maskrcnn ?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 51270,
      "title": "Stain deconvolution?",
      "comment_count": 13,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 53733,
      "title": "Small dataset of non nuclei images",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 53692,
      "title": "Different data augmentations using imgaug repo within Mask_RCNN",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53209,
      "title": "Looking for team",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52989,
      "title": "Anyone have good idea for good performance on color image?",
      "comment_count": 26,
      "views": 0,
      "votes": 3
    },
    {
      "id": 51143,
      "title": "Matterport training is really slow",
      "comment_count": 14,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47736,
      "title": "Scoring function?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53711,
      "title": "Index was outside the bounds of the array.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52983,
      "title": "Problem with training deepsense.ai U-Net",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53675,
      "title": "Validation Strategies",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53572,
      "title": "Island segregation?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53655,
      "title": "for your reading: automatic unbiased analysis in cell microscopy",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53591,
      "title": "For your reading: High Content Screening",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53565,
      "title": "How to monitor MAP in matterport's implementation at the end of each epoch ?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 53541,
      "title": "Has anyone successfully run tensorflow official mask rcnn ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52960,
      "title": "Question about stage 2",
      "comment_count": 15,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 53524,
      "title": "Resource : Comparison of different object detection algorithms",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 53523,
      "title": "submission rows for the same imageId",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 53332,
      "title": "Heng CherKeng is too strong",
      "comment_count": 9,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 53478,
      "title": "Confusion on the final output file format",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53460,
      "title": "Feature Pyramid Network",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 53248,
      "title": "Mask R-CNN implementation in pytorch?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53232,
      "title": "Can anyone help me on my mask rcnn?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 53214,
      "title": "The 1st player stands like a God",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 52836,
      "title": "a related work on Group Normalization, deal with small batch size",
      "comment_count": 5,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 48675,
      "title": "colored or black and white",
      "comment_count": 10,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 53148,
      "title": "Submission generated 0 score but visual comparison of decoded csv file looks good when compared against test images not sure how to make sure submission is correctly formatted. Who can I talk to? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 50060,
      "title": "Could you explain exactly what evaluation metric is?",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 53063,
      "title": "Enough time to compete?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 52455,
      "title": "Matterport's Mask R-CNN training - article",
      "comment_count": 5,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 53043,
      "title": "Stage 2 indication of size? (due to download duration)",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52746,
      "title": "Developing new architecture",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52720,
      "title": "confusion about stage2 ..",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50812,
      "title": "Which Kernel is Most Impactful to You? Which Kernels Will Make the Top 3?",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 52845,
      "title": "Paper: Generating and designing DNA with deep GANs",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52763,
      "title": "Gathering ready-to-use external data",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 51110,
      "title": "Stage 2",
      "comment_count": 12,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 48952,
      "title": "looking for team member",
      "comment_count": 13,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 52466,
      "title": "Batch Normalization giving poor results",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 52783,
      "title": "Confirming my understanding of the requirements",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52765,
      "title": "Annotated Masks",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52764,
      "title": "Dynamic range of the data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52717,
      "title": "Is pix2pix  and cycleGAN feasible for this competition ？ ",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 52643,
      "title": "Have trouble requesting merge - You don't have permission for this operation.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 52662,
      "title": "Mixed-Scale Dense CNN for segmentation?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 52544,
      "title": "Team merge issue",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 52252,
      "title": "Simple ensemble by combining two csv submission files",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 52445,
      "title": "Team merger",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 51487,
      "title": "Mosaic assembly code",
      "comment_count": 9,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 52414,
      "title": "information for beginners and not only...",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52309,
      "title": "Mask RCNN pretrained weights.  coco vs imagenet vs ...",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 52432,
      "title": "Submit Prediction Missing",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52358,
      "title": "Social Media Mini-Competition #3: What issue should data science tackle next?",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 52250,
      "title": "anyone use google object detection framwork? what your LB score?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52275,
      "title": "ImportError: ~/torch_nms/extension/_extension.so: undefined symbol: _nms",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 52273,
      "title": "name 'crop_and_resize_gpu_forward' is not defined",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52271,
      "title": "CRF (conditional random field) network for instance segmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 52228,
      "title": "Scoring and segmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 52206,
      "title": "Multichannel U-net",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 51973,
      "title": "histology slide reading",
      "comment_count": 4,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 52149,
      "title": "Help in labeling external data",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 52096,
      "title": "Should false negatives (FN) be true negatives (TN)?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 52085,
      "title": "Solved",
      "comment_count": 0,
      "views": 0,
      "votes": -5
    },
    {
      "id": 51202,
      "title": "How to use unsupervised learning (aka knowledge distillation or pseudo label) ",
      "comment_count": 4,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 51577,
      "title": "Evaluation Exception: Index was outside the bounds of the array.",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47723,
      "title": "Running Keras-U-starter kernel on free GPUs in parallel",
      "comment_count": 8,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48047,
      "title": "Submission Exception (index is out of bounds)",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 48825,
      "title": "Idea for a solution: focus on boundaries",
      "comment_count": 29,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 51824,
      "title": "How to do image augementation both for X and Y?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 51859,
      "title": "ValueError",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 51579,
      "title": "How many epochs?",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 51794,
      "title": "New cell segmentation paper using Adversarial Neural Networks",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 51752,
      "title": "DeepLab-v3+ released",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 51691,
      "title": "How to remove a fiber artifact in an image?",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 51564,
      "title": "Mask R-CNN for instance segmentation tutorial?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50038,
      "title": "Segmenting Body/Edge Results",
      "comment_count": 8,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 50791,
      "title": "Coco vs Imagenet vs from-scratch",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 51145,
      "title": "matterport Mask RCNN: loosing accuracy after resuming checkpoints",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 51527,
      "title": "A correct implementation of an iou metric in Keras",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 51551,
      "title": "execution time 3030 seconds++ not stop",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50680,
      "title": "Improve rpn, rcnn or detection sub network with attention ",
      "comment_count": 5,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 51367,
      "title": "what does automating nucleus detection means and how it is useful?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 51184,
      "title": "Train & Test Image mosaic",
      "comment_count": 11,
      "views": 0,
      "votes": 33,
      "reused": true
    },
    {
      "id": 51476,
      "title": "Morphological Postprocessing for Unets [LB 0.428]",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 50813,
      "title": "Enter Our Social Media Random Drawing by Answering: What human health condition do you hope we can eliminate?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 51469,
      "title": "Caffe dice loss layer for 2D images",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 51370,
      "title": "FYI: crowdsource nuclei segmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 50160,
      "title": "Looks okay in .png, But 0.001 for the score",
      "comment_count": 8,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 51292,
      "title": "Issue with overlapping nuclei",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 51216,
      "title": "Mask R-CNN: ImageNet pretrained weights",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49946,
      "title": "Extremely low score",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 51166,
      "title": "Solved",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 51146,
      "title": "Plot training history",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 50801,
      "title": "How to encode the mask?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 51000,
      "title": "help, exceptions in evaluating my submissions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49088,
      "title": "4152 rows expected in solutions file ",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 50937,
      "title": "Is it legal to provide model weights of the model? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 50878,
      "title": "Error message in Evaluation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 50692,
      "title": "what are encodedpixels in stage1 training set ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 50686,
      "title": "New to deep learning",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48615,
      "title": "How could I use 'next' function in win10? ",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50605,
      "title": "Are the distributions of the train and test data different ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50577,
      "title": "Mask RCNN Collaborative Youtube Playlist",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 50386,
      "title": "Beware of IoU computation",
      "comment_count": 7,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 49803,
      "title": "Mini-Challenge #1: Share Your Connection to the Data Science Bowl on Your Social Channels",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 50482,
      "title": "Bug in the metric system?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50500,
      "title": "Error when checking target: expected mixed10 to have shape (6, 6, 2048) but got array with shape (256, 256, 1)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 50459,
      "title": "what does 'EncodedPixels' mean?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 50452,
      "title": "Partner  with  object detection(Yolo) for cool   research project",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49651,
      "title": "Tensorflow has released support for instance segmentation",
      "comment_count": 16,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 48315,
      "title": "Looking for a Team",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50329,
      "title": "Weird submission exception \"Index was outside the bounds of the array.\"",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50335,
      "title": "Run length encoding error,Pytorch ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49683,
      "title": "Data Augmentation Hurts",
      "comment_count": 16,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 50205,
      "title": "Evaluation Exception: Index was outside the bounds of the array.",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50147,
      "title": "do i need to upload my code somewhere?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50045,
      "title": "emdedding method for instance segmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 50095,
      "title": "concerns over training masks and scoring validity",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49995,
      "title": "Discrepancy between training score and Kaggle submission score.",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50098,
      "title": "Why more accurate mapping gets a lower score ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50023,
      "title": "Problem of re-annotating kaggle dataset and external dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 50000,
      "title": "Be aware  green bean attacks ¡",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 50009,
      "title": "(solved)Question about the evaluation. ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49909,
      "title": "[LB 0.407] submit and notebook with visualizations",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 49895,
      "title": "question about stage2",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 49832,
      "title": "Questions Submission File",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49517,
      "title": "Don’t Miss Dr. Carpenter’s DSB AMA, Thursday, February 15, 12pm ET",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 49610,
      "title": "Not sure how to work on this type of data!",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49674,
      "title": "buggy rle_encoding method?",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49626,
      "title": "What is the correct way to add dummy rows to make the submission long enough?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47604,
      "title": "External data",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49546,
      "title": "Some naive questions",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 49582,
      "title": "for your reading: \"How Different Are Cats and Cells Anyway? Closing the Gap for Deep Learning in Histopathology\"",
      "comment_count": 1,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 49553,
      "title": "Making this data usable in R",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48561,
      "title": "Index out of bounds for single full-image mask",
      "comment_count": 20,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 49494,
      "title": "Evaluation Exception: Submitted values must be positive.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49473,
      "title": "Want to join a team",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49436,
      "title": "Overlapping predictions",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48963,
      "title": "u cant win with perfect segmentation - understand the evaluation method",
      "comment_count": 7,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 48648,
      "title": "Issues with mask r-cnn",
      "comment_count": 43,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 49419,
      "title": "image annotation with paper and markers",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 47584,
      "title": "End of the Data Science Bubble?",
      "comment_count": 35,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 49337,
      "title": "run-length encoding and threshold levels",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47756,
      "title": "Question regarding evaluation metric",
      "comment_count": 13,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 49168,
      "title": "submission error(fixed)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 49073,
      "title": "why is my training so slow?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 49157,
      "title": "all nuclies annotation bounding box - file here",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 47672,
      "title": "Images & Masks at a glance",
      "comment_count": 6,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 48969,
      "title": "Error during submission ",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48805,
      "title": "Encoded label",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48932,
      "title": "does perfect segmentation in one mask will give me 100% LB?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48841,
      "title": "Wrong RLE encoding, or Bad Network?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47605,
      "title": "edge detection... and/or neural net",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 48892,
      "title": "how correlate is your \"val loss\" with the LB?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48875,
      "title": "someone wants to team up? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48759,
      "title": "train set split to categories (files here)",
      "comment_count": 6,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 47918,
      "title": "Which loss function to use in this task?",
      "comment_count": 8,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48317,
      "title": "how to improve your unet",
      "comment_count": 6,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 48678,
      "title": "a limerick",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 48274,
      "title": "Some youtube videos on Computational Pathology",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 48632,
      "title": "Question about the metric",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48608,
      "title": "Submission Issue",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48547,
      "title": "2 Challenges: label representation and cost definition",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48490,
      "title": "Loss is minimized, but plot results are completely wrong",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48548,
      "title": "Instance segmentation and RLE",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47912,
      "title": "How much time do you need for training U-net",
      "comment_count": 9,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48237,
      "title": "Trying to understand the submission csv",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47669,
      "title": "More details on \"Unseen experimental conditions\"?",
      "comment_count": 15,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 48486,
      "title": "Evaluation bins",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48501,
      "title": "Partner Up",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48488,
      "title": "NiftyNet: platform for research in medical image analysis and image-guided therapy",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 48312,
      "title": "Use of  comprehensive   approaches not black  box",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48321,
      "title": "how to RLE,",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48348,
      "title": "unet sigmoid activation saturation",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48420,
      "title": "Wanted : Friendly Partner",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48385,
      "title": "Tensorflow implementation of U-net",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 48297,
      "title": "Any team accepting a new member? ",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 47636,
      "title": "Entry barrier for students?",
      "comment_count": 12,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 48266,
      "title": "Possibilities for the experimental test set",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 48214,
      "title": "Simple Example for understanding the metric",
      "comment_count": 7,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 48181,
      "title": "Leaderboard update takes time?",
      "comment_count": 8,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 48190,
      "title": "leaderboard not refreshing",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 48031,
      "title": "compare cellprofiler and deep learning segmentation on fluorescence microscopy images",
      "comment_count": 3,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 47906,
      "title": "Excellent Introductory Video by Anne",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 47869,
      "title": "LB vs local validation",
      "comment_count": 12,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47702,
      "title": "Long list of resources for segmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 34,
      "reused": true
    },
    {
      "id": 47681,
      "title": "General remarks about interpreting images",
      "comment_count": 2,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 47985,
      "title": "I have concerns about the purpose of the competition",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 48017,
      "title": "Separate images by type and create model for each",
      "comment_count": 8,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47946,
      "title": "Experienced Biologist Seeking Team",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47994,
      "title": "The reason of gap between training and testing",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 48001,
      "title": "Would like to understand masks, encoded pixels, etc. better",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47933,
      "title": "Books/Online Courses on Image Processing in Python",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47857,
      "title": "Are we identifying nuclei or cells?",
      "comment_count": 6,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 47957,
      "title": "using ImageJ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47942,
      "title": "Why the LB score goes down despite the improvement of mean iou?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47910,
      "title": "Need mentor, can anyone let me join your team",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47620,
      "title": "Separate mask for each nuclei or whole mask for the image?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47739,
      "title": "Error train image?",
      "comment_count": 5,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 47858,
      "title": "first things first",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47840,
      "title": "Interesting past kernels/discussions from LB current leaders",
      "comment_count": 1,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 47708,
      "title": " what do you think about possible performance we can achieve after three months?",
      "comment_count": 9,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 47627,
      "title": "newbie needs help!",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47769,
      "title": "Processing masks with transparency",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47573,
      "title": "Team",
      "comment_count": 10,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47787,
      "title": "Wrongly labeled images in train set",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47665,
      "title": "some pre/post-processing ideas from open source software",
      "comment_count": 2,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 47750,
      "title": "Image file format consistency",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47718,
      "title": "Train images 4-channel, Test Images 3 ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 47738,
      "title": "34343",
      "comment_count": 0,
      "views": 0,
      "votes": -12
    },
    {
      "id": 47711,
      "title": "Looking for a mentor",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 47588,
      "title": "I found a typo about the threshold values in Evaluation",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47695,
      "title": "Hardware for the competition",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47693,
      "title": "Am I missing something ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47608,
      "title": "Process Data",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47612,
      "title": "cpu on cloud",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    }
  ],
  "errors": [
    {
      "id": 48196,
      "error": "topic 48196 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
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}