{
  "fetched_at": "2026-10-19T06:36:16Z",
  "source_url": "https://www.kaggle.com/competitions/golfdetection/data",
  "pages": [
    {
      "name": "data-description",
      "content": "For each image in the test set, you must predict a list of boxes describing objects in the image. Each box is described as\n`ImageID,PredictionString`\n\n`ImageID, Label_1 Confidence_1 x_center_1 y_center_1 width_1 height_1  Label_2 Confidence_2 x_center_2 y_center_2 width_2 height_2`",
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    {
      "name": "Description",
      "content": "## Description\nBoolArt Golf Detection Challenge is a practical competition to practice object detection methods. \nPlease feel free to use any methods that you want and get a good score. \n\n### Annotation\nDataset follows the YoLoV5 annotation format.\n\n### Evaluation\nThe evaluation metric in this competition is mAP.",
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    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!\n\nAlso, follow rules define by BoolArt.",
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