{
  "fetched_at": "2026-10-19T12:34:15Z",
  "source_url": "https://www.kaggle.com/competitions/cse512hw3/data",
  "pages": [
    {
      "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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      "content": " <h2>File descriptions</h2>\n<ul>\n<li><strong>Train_Features.pkl</strong> - training set features</li>\n<li><strong>Val_Features.pkl</strong> - Validation set features</li>\n<li><strong>Test_Features.pkl</strong> - Test Set features</li>\n<li><strong>Train_Labels.csv</strong> - training set labels</li>\n<li><strong>Val_Labels.csv</strong> - Validation set labels</li>\n<li><strong>Train_images96</strong> - Training set images</li>\n<li><strong>Val_images96</strong> - Validation set images</li>\n<li><strong>Val_Features.csv</strong> - Validation set features</li>\n<li><strong>Train_Features.csv</strong> - Train set features </li>\n<li><strong>Test_Features.csv</strong> - Test set features </li>\n</ul>\n<p>\nTo load the pickle files in Python 2.7, try:\n<li>import pickle</li>\n<li>TrainFileName = 'Train_Features.pkl' </li>\n<li>Train_Features = pickle.load(open(TrainFileName,'rb'))</li> `\n</p>\n<p> In case you are using Matlab, you can read the csv Feature file as:\n<li>name = 'Val_Features.csv'</li>\n<li>fid = fopen(name,'r');</li>\n<li>while ~feof(fid)</li>\n    <li>tline = fgetl(fid);</li>\n <li>%use strplit to split the line, first cell contains the id, rest 512 cells contain the 512-d feature</li>\n    <li>disp(tline)</li>\n<li>end</li>\n<li>fclose(fid);</li>\n</p>",
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    {
      "name": "Description",
      "content": "<p>Kaggle page for HW3</p>\n\n\n\n",
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    {
      "name": "Evaluation",
      "content": "\n<p>The evaluation metric for this competition is Classification Accuracy.</p>\n\n<h2>Submission Format</h2>\n<p><strong>For every test sample in the dataset</strong>, submission files should contain two columns: Id and Category. Id is the same as the image name, and Category is the predicted label, which can take a value between 1 - 5.</p>\n<p>The file should contain a header and have the following format:</p>\n<pre>Id,Category<br />1-1.jpg,1<br /><span style=\"font-size: 14px; line-height: 1.4em;\">1-2.jpg,3<br />3-1.jpg,5 <br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">100-1.jpg,2<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span></pre>",
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