{
  "total": 132,
  "topics": [
    {
      "id": 285696,
      "title": "Competition is Finalized - Congratulations to our Winners; Recap",
      "comment_count": 1,
      "views": 0,
      "votes": 25
    },
    {
      "id": 285631,
      "title": "Thank you and Congratulations!",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 263939,
      "title": "Welcome to the NFL Helmet Assignment competition!",
      "comment_count": 79,
      "views": 0,
      "votes": 86
    },
    {
      "id": 263936,
      "title": "New to Kaggle or Machine Learning? Come Say Hi!",
      "comment_count": 27,
      "views": 0,
      "votes": 34
    },
    {
      "id": 388495,
      "title": "Manual Field Segmentation (Sideline+Endzone views)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284975,
      "title": "1st Place Solution",
      "comment_count": 113,
      "views": 0,
      "votes": 327
    },
    {
      "id": 285156,
      "title": "11th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 27
    },
    {
      "id": 264037,
      "title": "Beginner’s Guide to NFL Football",
      "comment_count": 5,
      "views": 0,
      "votes": 28
    },
    {
      "id": 285112,
      "title": "2nd place solution",
      "comment_count": 19,
      "views": 0,
      "votes": 76
    },
    {
      "id": 284945,
      "title": "10th place solution",
      "comment_count": 22,
      "views": 0,
      "votes": 61
    },
    {
      "id": 285007,
      "title": "4th Place Solution",
      "comment_count": 11,
      "views": 0,
      "votes": 51
    },
    {
      "id": 285286,
      "title": "5th Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 32
    },
    {
      "id": 285076,
      "title": "[3rd place solution] YOLOv5 + DeepSort + ICP + Hungarian algorithm",
      "comment_count": 5,
      "views": 0,
      "votes": 55
    },
    {
      "id": 284940,
      "title": "9th place solution",
      "comment_count": 14,
      "views": 0,
      "votes": 64
    },
    {
      "id": 285424,
      "title": "Best Model using Baseline Boxes & Fastest Model?",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 285153,
      "title": "25th place solution (Trained DeepSort + Hyperparameter Sweep + Gmmreg + Hungarian Algorithm)",
      "comment_count": 0,
      "views": 0,
      "votes": 27
    },
    {
      "id": 285127,
      "title": "30th place solution. Affine transformation and voting deepsort cluster",
      "comment_count": 1,
      "views": 0,
      "votes": 19
    },
    {
      "id": 285065,
      "title": "21st Place Solution - Hungarian Algorithm, Frame Filling",
      "comment_count": 0,
      "views": 0,
      "votes": 23
    },
    {
      "id": 285179,
      "title": "22nd place solution: Yolov5l + Deepsort + CPD registration",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 285285,
      "title": "23th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 285059,
      "title": "39th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 285186,
      "title": "Did anyone try detectron2 in this competition? ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 282637,
      "title": "Final Week! Good Luck Everyone.",
      "comment_count": 8,
      "views": 0,
      "votes": 22
    },
    {
      "id": 285013,
      "title": "Top solutions collection",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 284729,
      "title": "[Guide] - How to ensemble object detectors ",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 284744,
      "title": "what happens when 'submitted' submission(s) is/are running after deadline?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 284353,
      "title": "I encountered this error when running Deepsort. how can I solve it?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 284588,
      "title": "Is ensembling/averaging possible in this competition",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 284386,
      "title": "Is it legal to use YOLO_v5 for this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 284243,
      "title": "How to assign the labelling to home and visiting colour code HXX and VYY",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 281984,
      "title": "update ByteTracker in NFL",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 281082,
      "title": "Validation vs LB score",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 279046,
      "title": "Debugging Tips [Notebook Threw Exception]",
      "comment_count": 8,
      "views": 0,
      "votes": 42
    },
    {
      "id": 280687,
      "title": "Same label on different helmets ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 282135,
      "title": "Number of videos in test dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 277257,
      "title": "Occurred \"Notebook Threw Exception\" when using my own trained yolov5 csv.",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 280733,
      "title": "Notebook Exceeded Allowed Compute[PLEASE   HELP!!]",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 278974,
      "title": "An error occurred: Data not found",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 277449,
      "title": "Coordinate System ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 278733,
      "title": "Occurred '-999.00000 before --> 0.77170 deepsort' when i using my own detector, -999.00000 is roughly 0.3 when i submit baseline, and 0.77170 is also better than baseline but the score is worsen than the baseline.Have you meet this problem?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 280112,
      "title": "Notebook threw exception",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 279374,
      "title": "About the produce the test_baseline_helmet file",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 279414,
      "title": "Deep study",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 279021,
      "title": "Num of CPU kernels will decrease when using GPU?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 277989,
      "title": "I successfully run my code in public kernel line by line but cause 'notebook threw exception' after submitting.",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 273250,
      "title": "Do we need to detect players that are not in the game (not in tracking data) ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 278183,
      "title": "Is there a proper training and inference notebook for this competition ?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273391,
      "title": "Submission Scoring Error [help]",
      "comment_count": 24,
      "views": 0,
      "votes": 16
    },
    {
      "id": 277388,
      "title": "Possible cause for Notebook Threw Exception ",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 277548,
      "title": "Is there a difference between requirements of runtime and submission grading time?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 277731,
      "title": "filtering H00 and V00 based on  yolov5 classification",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 277032,
      "title": "Another Error: Could not list notebooks: Unexpected token < in JSON at position 0",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276918,
      "title": "Is it necessary to train a new helmet detection model？",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276608,
      "title": "another starter question",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 271847,
      "title": "What do you think about \"great job\" comments in Discussions?",
      "comment_count": 13,
      "views": 0,
      "votes": 17
    },
    {
      "id": 264575,
      "title": "Too hard/tedious to match tracking data and detection box?",
      "comment_count": 12,
      "views": 0,
      "votes": 29
    },
    {
      "id": 274901,
      "title": "Submit to competition Error[help]",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 276309,
      "title": "Where can i find my output files?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276392,
      "title": "ensamble object detectors",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 276547,
      "title": "new to the competition",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 276720,
      "title": "A newbie's question : How to transform yolov5's Output into Submission?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 275539,
      "title": "dumb player tracking question",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272133,
      "title": "Has anyone made a custom detection model?",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 275041,
      "title": "Fine-tuning of the DeepSort Feature Extractor",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 263934,
      "title": "Looking for a Team Megathread",
      "comment_count": 35,
      "views": 0,
      "votes": 16
    },
    {
      "id": 274828,
      "title": "Help us crash notebooks",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 274539,
      "title": "Why so many deepsort clusters?",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274509,
      "title": "Questions about submissions from Editor",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274781,
      "title": "Looking at speeds did not work for me",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274648,
      "title": "Are random seeds Work?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 273575,
      "title": "Detection model ensembling",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 274888,
      "title": "A possible reason for Notebook Threw Exception",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274527,
      "title": "NGS coordinates vs Camera Coordinates",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274695,
      "title": "Summary of the Challenge (I guess)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 274185,
      "title": "code in notebooks is not executed",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 274332,
      "title": "Do the supplemental images are taken from training videos?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273847,
      "title": "coordinate format",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274019,
      "title": "Automatic camera orientation detection in sideview",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274096,
      "title": "Code competition clarification",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273670,
      "title": "Does tensorflow 2.4.0 really guarantee code reproducibility when using GPUs?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 264980,
      "title": "Motivational videos with relevant lessons in 8 minutes or less",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 272457,
      "title": "Tracking information for ancillary helmet detection dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272480,
      "title": "Hand-annotated Camera rotation (when compared to tracking) Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 22
    },
    {
      "id": 265800,
      "title": "Tracking by detection approach. SORT/DeepSORT tracker. ",
      "comment_count": 20,
      "views": 0,
      "votes": 25
    },
    {
      "id": 264534,
      "title": "PNG Image Dataset for Helmet Detection (YOLO notation)",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 272402,
      "title": "Jersey Number Detection Using easyOCR",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 272115,
      "title": "[Paper] Multi-task learning for jersey number recognition",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 266765,
      "title": "Public/Private Test Video Num",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 266670,
      "title": "Report labeling errors",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 271895,
      "title": "Any plays with snow covered field in test set?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271375,
      "title": "Submission Scoring Error",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269135,
      "title": "Hardware rules: can I train a model outside a Kaggle notebook?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 270439,
      "title": "Why are there missing tracking data?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 270842,
      "title": "Frame 0 on 57584_000336_Sideline",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 271169,
      "title": "home or visitor view?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 268646,
      "title": "Player traking sensors and prediction question",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 268281,
      "title": "youtube video:top solutions from the 2020 \"NFL 1st and Future - Impact Detection\"",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 267734,
      "title": "Jersey Number for Mapping",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 271024,
      "title": "Exciting Problem",
      "comment_count": 1,
      "views": 0,
      "votes": -7
    },
    {
      "id": 269594,
      "title": "Rules - Synthetic Data allowed?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 263991,
      "title": "Winning solutions from previous NFL competition ",
      "comment_count": 12,
      "views": 0,
      "votes": 59
    },
    {
      "id": 266911,
      "title": "Holistic Approach - Future Options",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 268448,
      "title": "[Compilation] Good baseline solutions",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 264755,
      "title": "How to use mmdetection and detectron2 with thier CLI interface",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 265813,
      "title": "Other NFL Competitions",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 266668,
      "title": "Identifying Football Player's Head  Impact “Exposures”: \"Play smart, Play safe.\"",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 265812,
      "title": "Helmet detection error analysis in football videos using Amazon SageMaker 💯✔️",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 267377,
      "title": "Is it worth using .png files?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 267756,
      "title": "Idea to match tracking data with sideline helmet",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 264593,
      "title": "Evaluate baseline detector",
      "comment_count": 5,
      "views": 0,
      "votes": 36
    },
    {
      "id": 264154,
      "title": "Is it OK to use last year's competition data??",
      "comment_count": 15,
      "views": 0,
      "votes": 16
    },
    {
      "id": 264549,
      "title": "Approaching the competition goal",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 264536,
      "title": "Articles, blogs, projects, journal papers about helmet detection in sports",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 264093,
      "title": "Computational resources advice",
      "comment_count": 7,
      "views": 0,
      "votes": 11
    },
    {
      "id": 264222,
      "title": "Very few studies on Helmet Detection and Collisions",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 269018,
      "title": "The way to improve match tracking data",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269242,
      "title": "Helmet color for match tracking data",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 265289,
      "title": "[train/test]_baseline_helmets.csv has label column?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 265063,
      "title": "Is there anyone try an ML approach to match helmets and players?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 264441,
      "title": "Assign helmets to players",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 264553,
      "title": "NFL Video Frame JPG",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 264789,
      "title": "tracking data and baseline helmets predictions",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264231,
      "title": "C# Code to Extract JPG from MP4 ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 266632,
      "title": "Camera position",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 266272,
      "title": "Team Classification",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 265014,
      "title": "What is the purpose of  train_baseline_helmets.csv and  test_baseline_helmets.csv?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 264361,
      "title": "How to match Time and Frame?",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 263932,
      "title": "Points but no tier?",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 264514,
      "title": "Scoring   ",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 264521,
      "title": "Test set players",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 264434,
      "title": "Looking for team mate",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 264584,
      "title": "External data - is there any?",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    }
  ],
  "errors": []
}