{
  "total": 105,
  "topics": [
    {
      "id": 112335,
      "title": "Competition Takeaways",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 111496,
      "title": "Open Images Challenge workshop at ICCV 2019 [NEEDS YOUR ATTENTION ASAP]",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 109879,
      "title": "IMPORTANT: external data disclosure deadline approaching!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 103488,
      "title": "Important information about the challenge data and evaluation",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94289,
      "title": "Official External Data Thread",
      "comment_count": 25,
      "views": 0,
      "votes": 1
    },
    {
      "id": 99520,
      "title": "Request GCP Credits",
      "comment_count": 19,
      "views": 0,
      "votes": 15
    },
    {
      "id": 392061,
      "title": "MetaData Issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 110941,
      "title": "TPU solution: RetinaNet + NAS-FPN + ResNet/EfficientNet, code shared [24th place]",
      "comment_count": 13,
      "views": 0,
      "votes": 41
    },
    {
      "id": 99989,
      "title": "How to improve speed? Yolo-v3",
      "comment_count": 15,
      "views": 0,
      "votes": 11
    },
    {
      "id": 157494,
      "title": "Open Images 2020 challenge",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 115086,
      "title": "Code to ensemble boxes for object detection",
      "comment_count": 5,
      "views": 0,
      "votes": 34
    },
    {
      "id": 137092,
      "title": "1st place solutions",
      "comment_count": 1,
      "views": 0,
      "votes": 27
    },
    {
      "id": 121414,
      "title": "3rd place solution [0.67170|0.64214 Public|Private LB]",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 97493,
      "title": "Pytorch Object-detection Toolbox",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 110953,
      "title": "6th place solution [0.6023 private LB]",
      "comment_count": 20,
      "views": 0,
      "votes": 56
    },
    {
      "id": 95332,
      "title": "Can anyone explain how to generate prediction string?",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 122273,
      "title": "Hi Everyone, i want to ask the contest is over ?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94789,
      "title": "Error in 2019 data",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 111266,
      "title": "10th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 111682,
      "title": "Will there be another OID challenge in 2020?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 111568,
      "title": "Why most of the top teams didn't share their solution approaches?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 111187,
      "title": "Final results?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 111268,
      "title": "Congratulations to our New Grandmaster Pudae!",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 110045,
      "title": "objects365 dataset",
      "comment_count": 17,
      "views": 0,
      "votes": 26
    },
    {
      "id": 110800,
      "title": "\"Kernel run unsuccessful\" issue",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 109797,
      "title": "A weird set of new users",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 110029,
      "title": "Top kagglers@LB",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 110329,
      "title": "Difference in local evaluation and leaderboard evaluation",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 109835,
      "title": "mAP function",
      "comment_count": 1,
      "views": 0,
      "votes": 33
    },
    {
      "id": 109991,
      "title": "Great to see competition Novices bursting into top 10 in their 1st attempt :)",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 110350,
      "title": "Play fair Guys !!!!!!!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 110399,
      "title": "Anyone used pre-trained YOLOv3 model ? performance ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 109537,
      "title": "How does the box score threshold affects the mAP or the final score?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108088,
      "title": "Looking for teammates",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108483,
      "title": "New GPU Qouta hours per week",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 108443,
      "title": "help me",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 108339,
      "title": "Where is the training data",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 108300,
      "title": "how to step-by-step train",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 107908,
      "title": "YOLO V3 Open Images performance",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 107342,
      "title": "Just starting out, looking to team up?",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 107591,
      "title": "Find an intern in Tencent YouTu for this competition",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 103687,
      "title": "How to upload submission.csv?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 102511,
      "title": "Why are the labeling standards not uniform？",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 106573,
      "title": "How to extract and use this large dataset ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 106148,
      "title": "Can't find any relationship between tsv files content and competition ImageIDs ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 102304,
      "title": "Find a team-mate",
      "comment_count": 30,
      "views": 0,
      "votes": 0
    },
    {
      "id": 105666,
      "title": "Challenge-2019-Classes-description-500.csv  file  has errors",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 105646,
      "title": "The differences between csv files",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 101570,
      "title": "How to start work on this?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 95554,
      "title": "Difference of the openimage v4 and v5 in object detection task",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 104810,
      "title": "How much time do you spend on training?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 104900,
      "title": "Idea for more prizes...",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 101666,
      "title": "Anyone tried SSD ?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 99478,
      "title": "What firearms do you have in this competition",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 103724,
      "title": "How to use GCP bucket?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94770,
      "title": "Hosting 300,000 train images 256x256 on Kaggle",
      "comment_count": 10,
      "views": 0,
      "votes": 45
    },
    {
      "id": 103226,
      "title": "Commit With Error Code 137",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 102476,
      "title": "What's your system configurations - thread",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 102495,
      "title": "Exploring classes hierarchy",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 100377,
      "title": "Help getting started",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 101498,
      "title": "Download the dataset in China",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 100884,
      "title": "Teaming Up!!",
      "comment_count": 18,
      "views": 0,
      "votes": 0
    },
    {
      "id": 101209,
      "title": "How many classes 500 or 600 ?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 100564,
      "title": "how to take part in competition i am new",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 100537,
      "title": "Which CNN model to use for this task as a beginner?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 100702,
      "title": "Overlapping hierarchy classes",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 100674,
      "title": "Training and testing data size issues",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 100201,
      "title": "Setup GCP",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 100371,
      "title": "How to calculate Xmin Ymin Xmax Ymax of the box after scaling the image?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 99153,
      "title": "How to start?",
      "comment_count": 9,
      "views": 0,
      "votes": null
    },
    {
      "id": 98269,
      "title": "About dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 98601,
      "title": "GCP credits",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 98957,
      "title": "How to generate prediction string???",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 94334,
      "title": "Last year winning solutions",
      "comment_count": 19,
      "views": 0,
      "votes": 89
    },
    {
      "id": 99018,
      "title": "How to de-normalize bbox value?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 98560,
      "title": "A question about Dataset",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 94660,
      "title": "[0.15-1.5GB] Re-sized and compressed validation data-set (512x, 256x, 128x)",
      "comment_count": 5,
      "views": 0,
      "votes": 29
    },
    {
      "id": 98495,
      "title": "How would you train on the massive dataset?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 98470,
      "title": "what's the image size? ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 96869,
      "title": "looking for a teammate",
      "comment_count": 15,
      "views": 0,
      "votes": 2
    },
    {
      "id": 98088,
      "title": "join competition",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 96829,
      "title": "Absolutely no difference from last year?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 96795,
      "title": "Training on resized datasets",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 97192,
      "title": "fast rcnn using torchvision",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94819,
      "title": "will there be any kernel running time limit in evaluation?",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 94539,
      "title": "GCP Credits Availability",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 96237,
      "title": "What is the hardware threshold of this competition?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 96737,
      "title": "All Object Detection Algorithm discussion",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 96308,
      "title": "Any difference from last year?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 96739,
      "title": "Accuracy Comparison of all object detection algorithm (Get your best Algorithm)",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 96133,
      "title": "Which  one will be better 1) fine tuning or 2) Training From Scratch ?",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 96439,
      "title": "Data Loading takes a lot of time.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 95425,
      "title": "How to participate in the competition with large dataset?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 96466,
      "title": "Data transfer",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 95665,
      "title": "What the GPU and CPU requirement for this competition? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 95695,
      "title": "pre trained  object detection models.",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 94521,
      "title": "Demand for re-sized data-sets?",
      "comment_count": 15,
      "views": 0,
      "votes": 29
    },
    {
      "id": 96125,
      "title": "Hardware Environment for this big Competition",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 94650,
      "title": "[0.3-3GB] Re-sized and compressed test data-set (512x, 256x, 128x)",
      "comment_count": 11,
      "views": 0,
      "votes": 33
    },
    {
      "id": 96023,
      "title": "Using Pixel Level Approach.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 94673,
      "title": "Get dataset to the kaggle kernel ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 94385,
      "title": "Beginner Buide",
      "comment_count": 2,
      "views": 0,
      "votes": 19
    },
    {
      "id": 95436,
      "title": "Is resizing images helpful?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 95262,
      "title": "newbies to image detection ? ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 94896,
      "title": "image has incorrectly formatted predictions?",
      "comment_count": 8,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}