{
  "total": 106,
  "topics": [
    {
      "id": 209890,
      "title": "Leaderboard Finalized - Congratulations to the Winners; Recap",
      "comment_count": 0,
      "views": 0,
      "votes": 32
    },
    {
      "id": 197672,
      "title": "Welcome to the 1st and Future Competition",
      "comment_count": 55,
      "views": 0,
      "votes": 37
    },
    {
      "id": 197522,
      "title": "Looking for a Team Megathread",
      "comment_count": 18,
      "views": 0,
      "votes": 2
    },
    {
      "id": 197521,
      "title": "New to Kaggle or Machine Learning? Come Say Hi!",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 202094,
      "title": "proceed y/n ? where ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 307788,
      "title": "yolo and tumor detection",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 199175,
      "title": "Movies featuring NFL Football !",
      "comment_count": 12,
      "views": 0,
      "votes": 17
    },
    {
      "id": 208947,
      "title": "4th place solution",
      "comment_count": 10,
      "views": 0,
      "votes": 52
    },
    {
      "id": 208787,
      "title": "3rd Place Solution -- Simple 2-Stage Pipeline",
      "comment_count": 33,
      "views": 0,
      "votes": 109
    },
    {
      "id": 208979,
      "title": "2nd Place Solution: Helmet Detection + 3d Impact Detection + Post Processing",
      "comment_count": 32,
      "views": 0,
      "votes": 106
    },
    {
      "id": 209403,
      "title": "1st place solution",
      "comment_count": 23,
      "views": 0,
      "votes": 176
    },
    {
      "id": 202603,
      "title": "Don't understand the project",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 214016,
      "title": "Review of top solutions",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 209012,
      "title": "9th Place - 2D Detection 3D Classification",
      "comment_count": 16,
      "views": 0,
      "votes": 53
    },
    {
      "id": 209235,
      "title": "5th place solution: one-stage I3D with additional 2D model for bbox centers",
      "comment_count": 2,
      "views": 0,
      "votes": 30
    },
    {
      "id": 208833,
      "title": "[6th place solution] EfficientDet + resnet18",
      "comment_count": 18,
      "views": 0,
      "votes": 42
    },
    {
      "id": 209553,
      "title": "9th place Code & Inference Notebook",
      "comment_count": 2,
      "views": 0,
      "votes": 24
    },
    {
      "id": 208773,
      "title": "[10th place solution] Extended Centernet",
      "comment_count": 20,
      "views": 0,
      "votes": 65
    },
    {
      "id": 208846,
      "title": "suggestion to a new kind of 2-stage competition",
      "comment_count": 10,
      "views": 0,
      "votes": 28
    },
    {
      "id": 208918,
      "title": "15th place solution: single stage object tracking",
      "comment_count": 8,
      "views": 0,
      "votes": 33
    },
    {
      "id": 206461,
      "title": "analysis of CAM activation of 3d-conv-action localisation",
      "comment_count": 28,
      "views": 0,
      "votes": 78
    },
    {
      "id": 208851,
      "title": "7-th place solution from AlphaGoal Team [2.5D CenterNet, 3D CNN]",
      "comment_count": 3,
      "views": 0,
      "votes": 48
    },
    {
      "id": 208812,
      "title": "Top solutions list",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 208801,
      "title": "Team tara 13th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 29
    },
    {
      "id": 208929,
      "title": "18th Solution : YoloV5 and filtering using tracking data",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 208782,
      "title": "Watch Submission CSV as a Video!",
      "comment_count": 0,
      "views": 0,
      "votes": 31
    },
    {
      "id": 209341,
      "title": "[40th place solution] 2-Class Prediction + HFlip + NMS + Filtering",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 208785,
      "title": "50th place solution (single model)",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 208771,
      "title": "how to code your detector from scratch",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 208778,
      "title": "Zoom call/presentation to discuss solutions",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 206832,
      "title": "(52nd place) Yolov5 implementation + Impact distribution",
      "comment_count": 13,
      "views": 0,
      "votes": 10
    },
    {
      "id": 208317,
      "title": "Any last minute tips?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207874,
      "title": "Private Score Release",
      "comment_count": 6,
      "views": 0,
      "votes": 39
    },
    {
      "id": 208829,
      "title": "181th solution",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 208756,
      "title": "Goodluck y'all!",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207396,
      "title": "Is the private leaderboard accessible? (same topic as RANZCR)",
      "comment_count": 42,
      "views": 0,
      "votes": 17
    },
    {
      "id": 208772,
      "title": "Metrics to diagnose performance",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207939,
      "title": "What happens in this case?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 207717,
      "title": "help! something wrong with my notebook?",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 208298,
      "title": "No Output Files Found",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 207866,
      "title": "detection of non definitive helmet impacts?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207270,
      "title": "Which one CV vs LB?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 207343,
      "title": "The public LB is 0.0000",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 207522,
      "title": "About CV score",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206665,
      "title": "How do we map timestamp in tracking data & frame no from videos",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 207291,
      "title": "Can I directly submit notebook that contains trained model?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 206448,
      "title": "Did any one solved in Tensorflow?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 207076,
      "title": "Looking for team merge ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 206811,
      "title": "Submission procedure",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 205511,
      "title": "Why score on LB is 0.0000",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 205061,
      "title": "Submission on CPU?",
      "comment_count": 28,
      "views": 0,
      "votes": 2
    },
    {
      "id": 205698,
      "title": "Anyone successfully used tracking data?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 206792,
      "title": "How to save the images and model in output as folders in a committed notebook?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 205492,
      "title": "Any idea for post processing？",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 204627,
      "title": "Best single model?",
      "comment_count": 22,
      "views": 0,
      "votes": 13
    },
    {
      "id": 203515,
      "title": "Noob Question!",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199169,
      "title": "Submission Scoring Errors",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200223,
      "title": "No. of Labels of Public LB is Only 120",
      "comment_count": 16,
      "views": 0,
      "votes": 32
    },
    {
      "id": 202950,
      "title": "⚽️ 🏀 🏈 ⚾️Winning solution of Previous Object Detection Kaggle Challenges 🏐 🏉 🎱",
      "comment_count": 10,
      "views": 0,
      "votes": 47
    },
    {
      "id": 202749,
      "title": "Rules update Re: Open-source licenses.",
      "comment_count": 7,
      "views": 0,
      "votes": 23
    },
    {
      "id": 204862,
      "title": "Participant by Score and Public notebooks",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 202201,
      "title": "why not many people join this competition?",
      "comment_count": 8,
      "views": 0,
      "votes": 27
    },
    {
      "id": 204997,
      "title": "The LB has same score since silver medal, is it fine?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 200995,
      "title": "Trained Helmet Detector",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 203514,
      "title": "Uncertainty in  Bounding Box Position",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 203125,
      "title": "Postprocessing: High Scoring Notebook (Why this may not work)",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 204778,
      "title": "Problem with total number of frames",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 204626,
      "title": "Can we combine the image and table data?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 204619,
      "title": "Why EfficientDet shows nan values after few epochs",
      "comment_count": 11,
      "views": 0,
      "votes": null
    },
    {
      "id": 202518,
      "title": "Animated tracking dataset",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 203055,
      "title": "What's the magic?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 197618,
      "title": "Why should not we use helmet sensors?",
      "comment_count": 18,
      "views": 0,
      "votes": 29
    },
    {
      "id": 203130,
      "title": "Nan Values in train_labels.csv",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 203542,
      "title": "I am new in Kaggle and need a team.",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 202564,
      "title": "Can I use the yolo v5 model?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 203280,
      "title": "Questionable wording in data description?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 198728,
      "title": "Link between timestamp and frame ",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 201502,
      "title": "Extracted Frames from Train Videos",
      "comment_count": 5,
      "views": 0,
      "votes": 26
    },
    {
      "id": 200908,
      "title": "Is there any restrict about the code license?",
      "comment_count": 15,
      "views": 0,
      "votes": 19
    },
    {
      "id": 201761,
      "title": "Which is better?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 201830,
      "title": "Fragility of models/proper validation",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 202704,
      "title": "Question due to quick submitting",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199937,
      "title": "first benchmark ",
      "comment_count": 13,
      "views": 0,
      "votes": 61
    },
    {
      "id": 201253,
      "title": "Does frame-number start with 0 or 1?",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 201316,
      "title": "Any idea on using transformer on this work?",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 201256,
      "title": "Notebook kernel restarts after import of a package",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 201626,
      "title": "Overfitting to the training data after re-training the model",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 201078,
      "title": "Can I combine both Endzone view and Sideline view for making prediction",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 201449,
      "title": "Installation in offline mode",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200820,
      "title": "Do we have Inference solution with the same length?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 200878,
      "title": "I'm not able to load my datasets in my kernel",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198905,
      "title": "An error in annotation?",
      "comment_count": 5,
      "views": 0,
      "votes": 24
    },
    {
      "id": 200728,
      "title": "about impacts",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200160,
      "title": "How can I change my file to  \"submission.csv\"",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 200146,
      "title": "How do I submit my first prediction?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 200869,
      "title": "there is still some possiblities of having impacting helmets out of non impacting",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 200310,
      "title": "Hello From Victor",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 198794,
      "title": "Are you a beginner who is not going to take this challenge? Don't be afraid you aren't  the only one.",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 199187,
      "title": "Beginner’s Guide to NFL Football",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 198922,
      "title": "Annotated videos dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 197930,
      "title": "Football helmets detection: Images and bounding boxes from Open Images v6",
      "comment_count": 0,
      "views": 0,
      "votes": 46
    },
    {
      "id": 198769,
      "title": "How can we approach this competition ?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 197556,
      "title": "A prize worth $5.6M for the best team?",
      "comment_count": 6,
      "views": 0,
      "votes": 15
    },
    {
      "id": 197582,
      "title": "SlowFast Networks for Video Recognition",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 197568,
      "title": "Relation competitions and links",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 197562,
      "title": "Why so defensive, Roger ;)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}