{
  "fetched_at": "2026-10-19T10:03:20Z",
  "source_url": "https://www.kaggle.com/competitions/classify-leaves/data",
  "pages": [
    {
      "name": "data-description",
      "content": "File descriptions:\n\n- train.csv - the training set\n- test.csv - the test set\n- sample_submission.csv - a sample submission file in the correct format (the labels are randomly generated so the initial accuracy is roughly 1/176)\n- images/ - the folder contains all images\n\nData fields\n\n- image - the image path, such as `images/0.jpg` \n- label - the category name ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "The task is predicting categories of leaf images. This dataset contains 176 categories, 18353 training images, 8800 test images. Each category has at least 50 images for training. The test set is split evenly into the public and private leaderboard.\n\nThe evaluation metric for this competition is [Classification Accuracy](https://www.kaggle.com/vipulgandhi/how-to-choose-right-metric-for-evaluating-ml-model). \n\nGood luck and have fun!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}