{
  "fetched_at": "2026-10-19T08:15:51Z",
  "source_url": "https://www.kaggle.com/competitions/11785-spring2021-hw2p2s1-face-classification/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Please refer to the writeup.",
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      "postTitle": "",
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    {
      "name": "Description",
      "content": "This is part 1 Face Classification for HW2P2. In addition to this, you should also finish part 2 Face verification\n\nGiven an image of a person’s face, the task of classifying the ID of the face is known as face classification. The input to your system will be a face image and you will have to predict the ID of the face. The ground truth will be present in the training data and the network will be doing an\nMulti-class Classification to get the prediction. You are provided with a validation set for fine-tuning your model. ",
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    {
      "name": "Evaluation",
      "content": "<p>The evaluation pages describes how submissions will be scored and how students should format their submissions. You don't need a sub-title at the top (the page title appears above). For an example of a high quality evaluation page, see the 2013 KDD Cup page, which we have copied here:</p>\n<hr>\n<p>The evaluation metric for this competition is <a href=\"https://www.kaggle.com/wiki/MeanFScore\"> Mean F1-Score</a>. The F1 score, commonly used in information retrieval, measures accuracy using the statistics precision p and recall r. Precision is the ratio of true positives (tp) to all predicted positives (tp + fp). Recall is the ratio of true positives to all actual positives (tp + fn). The F1 score is given by:</p>\n<p>\\[ F1 = 2\\frac{p \\cdot r}{p+r}\\ \\ \\mathrm{where}\\ \\ p = \\frac{tp}{tp+fp},\\ \\ r = \\frac{tp}{tp+fn} \\]</p>\n<p>The F1 metric weights recall and precision equally, and a good retrieval algorithm 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.</p>\n",
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      "hasIsPublished": false,
      "postTitle": "",
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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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