{
  "fetched_at": "2026-10-20T08:40:50Z",
  "source_url": "https://www.kaggle.com/competitions/2024-binary-classification-glasses-no-glasses/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Dataset offered by Romain Lhotte:\nhttps://drive.google.com/drive/folders/1QJatGAZXeLFBgab4vpm-NKqhRQ8pkgts?usp=sharing\n\nYou can find images of the test set in high and medium resolution in the following Gdrive folder:\nhttps://drive.google.com/drive/folders/1tAR72JtbVAQL29w2aOaXjVC5Q856OQkK?usp=share_link\n\nNote: The test set comprises data we manually labelled and that cannot be found on the internet.\n\n\n\n## Files\n\n*   **submission_example.csv** - a sample submission file in the correct format\n",
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    {
      "name": "Description",
      "content": "You can train on any online datasets you want (perhaps you will even create your own).\nIn the end, there are 1500 faces images to be classified into two categories: \"glasses\" and \"no glasses\".\n\nThe metric on the test set is category accuracy.\n\nMarking scheme:\nmax(your_accuracy_score, your_percentile)",
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    },
    {
      "name": "rules",
      "content": "Your anonymized information may be utilized for conducting basic statistical analysis and for the purpose of training an ensemble learning during a TD. It is also possible that the information may be included in a scholarly publication.",
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      "hasIsPublished": false,
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}