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  "fetched_at": "2026-10-19T11:28:15Z",
  "source_url": "https://www.kaggle.com/competitions/cifar100-image-classification/data",
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      "content": "CIFAR100 dataset",
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      "content": "## MLDL 2021 Spring @ GIST\nImage category classification with CIFAR-100 dataset.\n\n(Note: this is an individual basis assignment!)\n\n## Task\nGiven a set of images and their label, please train your model to classify a test image into the label. The label is class id string (looks like a number) - {00, 01, …, 09}. So, total of 100 classes.\n\nThe image size is 32 (width) by 32 (height) pixels in RGB (3) channels.\n\n## Evaluation metric\nTop-1 accuracy: Compare with the true label with the predicted label by your trained model.",
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    {
      "name": "Evaluation",
      "content": "## Evaluation metric\n\nTop-1 accuracy: Compare with the true label with the predicted label by your trained model.",
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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!",
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