{
  "fetched_at": "2026-10-19T07:49:52Z",
  "source_url": "https://www.kaggle.com/competitions/cv2020-classification-challenge/data",
  "pages": [
    {
      "name": "data-description",
      "content": "<h2>File descriptions</h2>\n\n</p>Training set: kaggle_cv_train.zip</p>\n</p>Test set: kaggle_cv_train.zip</p>\n</p>File that you need to upload: sample_submission.csv</p>\n\n</p> Note: There is no .txt file, you need to write your own data_loader to process the data.</p>",
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      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Description",
      "content": "<h2>Classification Competition</h2>\n\n<p>Image classification is a classic task in the Computer Vision domain. In this classification competition, you need to train your model based on a total of 120 species of dogs, and predict the type of images in the test set to get as much accuracy as possible.</p><p>\n\n</p><p>NOTE: You are allowed to use ImageNet pretrained weights to initialize your model and NOT allowed to use ANY OTHER dataset for training.</p><p></p>",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "<p>We adopt the Categorization Accuracy metric for evaluation.</p>",
      "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": "",
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    }
  ]
}