{
  "fetched_at": "2026-10-19T21:45:12Z",
  "source_url": "https://www.kaggle.com/competitions/cv2022/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Train set is provided through LearnUs.",
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    {
      "name": "Description",
      "content": "## This is for validating your model's performance\nTo format pages, stick to the following conventions:\n- Inline `code` should be encapsulated by back-ticks \\``. \n- Block code should have  \\``` as the first and last line of the block to produce\n```\n# code to print hello\nprint('hello')\n```\n- Subtitles are prefixed with \\##\n\n\nYou can display block equations using LaTeX encapsulated between `\\[` and `\\]`, and display inline encapsulated between `\\(` and `\\)` . Note that underscores should be escaped with a `\\` for the LaTeX to render properly. For example, this:\n\n\\[ \\epsilon = \\sqrt{\\frac{1}{n} \\sum\\_{i=1}^n (\\log(p\\_i + 1) - \\log(a\\_i+1))^2 } \\]\n\nis created by this:\n\n`\\[\\epsilon = \\sqrt{\\frac{1}{n} \\sum\\_{i=1}^n (\\log(p\\_i + 1) - \\log(a\\_i+1))^2 }\\]`\n\n\n## Acknowledgements\n\nWe thank Professor Plum, Ph.D. for providing this dataset.",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is [Mean F1-Score](https://en.wikipedia.org/wiki/F-score). The F1-score measures accuracy using precision and recall.\n\nPrecision is the ratio of true positives to all predicted positives. Recall is the ratio of true positives to all actual positives. The F1 score is given by:\n\n![](https://lawtomated.com/wp-content/uploads/2019/10/F1-Score.png)\n\nWe use F1-score as it weights recall and precision equally, and a good model will maximize both precision and recall simultaneously. Thus, moderately good performance on both will be favored over extremely good performance on one and poor performance on the other.\n\n\n## Submission Format\n\nSubmission file consists of two columns: `filename` and `class`. \nThe file should contain a header and have the following format:\n```\nfilename,class\n0.jpg,0\n1.jpg,1\n2.jpg,2\n```",
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      "name": "rules",
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