{
  "total": 39,
  "topics": [
    {
      "id": 112338,
      "title": "Competition Takeaways",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111498,
      "title": "Open Images Challenge workshop at ICCV 2019 [NEEDS YOUR ATTENTION ASAP]",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 109878,
      "title": "IMPORTANT: external data disclosure deadline approaching!",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 99518,
      "title": "Official External Data Thread",
      "comment_count": 15,
      "views": 0,
      "votes": null
    },
    {
      "id": 103493,
      "title": "Important information about the challenge data and evaluation",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 99521,
      "title": "Welcome!",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 114942,
      "title": "Keras Mask-RCNN for Instance Segmentation 2019",
      "comment_count": 12,
      "views": 0,
      "votes": 43
    },
    {
      "id": 157493,
      "title": "Open Images 2020 challenge",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116445,
      "title": "When will ICCV 2019 workshop materials be made available?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 121663,
      "title": "[ODS.ai] - ML trainings, video of presentation",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 118977,
      "title": "can i submit even after competition is over ? How long even?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112989,
      "title": "Best strategy for re-labeling train",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 110983,
      "title": "7th place solution",
      "comment_count": 9,
      "views": 0,
      "votes": 34
    },
    {
      "id": 111351,
      "title": "11th place solution [0.4796 private LB]",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 110908,
      "title": " 20th place solution - maskrcnn-benchmark baseline",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 110260,
      "title": "demo: maskrcnn-benchmark",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 110142,
      "title": "Could someone tell how to use the evaluation script on github?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 109681,
      "title": "Submission taking 20+ minutes to score",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 109519,
      "title": "Download Only Segmentation Dataset",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 109834,
      "title": "Anyone interested in teaming up?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 109076,
      "title": "Number of GPUs and Training time used?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 105257,
      "title": "private sharing",
      "comment_count": 77,
      "views": 0,
      "votes": 34
    },
    {
      "id": 105478,
      "title": "Open Images instance segmentation challenge metrics with Tensorflow/models",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 107545,
      "title": "It seems dcn models are hard to converge?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 107341,
      "title": "Where can I find the mask images?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 105671,
      "title": "Mistake in `challenge-2019-label300-segmentable-hierarchy.json`?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 106848,
      "title": "Number of validation masks is less than num of validation images?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 106607,
      "title": "Negative labels ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 105872,
      "title": "Quality of ground truth instance masks",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 103729,
      "title": "Comprehensive script to download and work on the OpenImages train set",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 100595,
      "title": "Unusually low public LB score",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 99910,
      "title": "evaluate validation set map",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 103483,
      "title": "Using Open Images (not challenge!) test set",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 103722,
      "title": "Access Data Transfered in GCP Bucket",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 100886,
      "title": "Teaming Up!!!",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 99923,
      "title": "Image shape and mask shape mismatched!",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 99542,
      "title": "Best solutions from other Instance Segmentation",
      "comment_count": 5,
      "views": 0,
      "votes": 46
    },
    {
      "id": 100278,
      "title": "Can someone please explain about the \"PredictionString\" column in the dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 99539,
      "title": "Previous Instance Segmentation comps",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    }
  ],
  "errors": []
}