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  "fetched_at": "2026-10-19T07:33:11Z",
  "source_url": "https://www.kaggle.com/competitions/11-785-fall-20-homework-2-part-2/data",
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      "name": "data-description",
      "content": "<p>The structure of the dataset folder is as follows:</p>\n\n<h2>File descriptions</h2>\n<ul>\n<li><strong>classification_data</strong></li>\n<li><strong>verification_data</strong></li>\n<li><strong>verification_pairs_val.txt</strong></li>\n<li><strong>verification_pairs_test.txt</strong></li>\n<li><strong>hw2p2_sample_submission</strong></li>\n</ul>\n",
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      "content": "<p>In this assignment, you will use Convolutional Neural Networks (CNNs) to design an end-to-end system for face verification. Your system will be given two images as input and will output a score that quantifies the similarity between the faces in these images. This helps us decide whether the faces from the two images are of the same person or not.</p>\n\n",
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      "name": "Evaluation",
      "content": "<p>The Receiver Operating Characteristic (ROC) curve is created by plotting the True Positive Rate (TPR) against the False Positive Rate (FPR) at various threshold settings. The Area Under the Curve (AUC) for the ROC curve is equal to the probability that a classifier will rank a randomly chosen similar pair (images of same people) higher than a randomly chosen dissimilar one (images from two different people) (assuming 'similar' ranks higher than 'dissimilar' in terms of similarity scores). \n</p>",
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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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