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  "fetched_at": "2026-10-19T17:18:33Z",
  "source_url": "https://www.kaggle.com/competitions/gan-2024-assignment-1/data",
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      "name": "data-description",
      "content": "<p>The dataset contains the separate train and test sets, each with 10 folders (one for each class). You need to train and test your model with the dataset provided with this assignment and submit your prediction in .csv format (yourrollnumber.csv). The submission should be in the following way: </p>\n<p>ImageID, Label</p>\n<p>101, 6</p>\n<p>102, 1</p>\n<p>103, 3</p>\n<p>104, 5</p>\n<p>and so on.</p>\n\n<p>**The class labels are as follows:**</p>\n<p>1 - Basketball court</p>\n<p>2 - Bridge</p>\n<p>3 - Croswalk</p>\n<p>4 - Golfcourse</p>\n<p>5 - Oil well</p>\n<p>6 - Overpass</p>\n<p>7 - Railway</p>\n<p>8 - Runway</p>\n<p>9- Swimming pool</p>\n<p>10- Tennis court</p>\n",
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      "name": "Evaluation",
      "content": "<p>You will be evaluated based on the following:</p>\n<ul>\n<li>Competition test data accuracy on the Kaggle leader board.</li>\n<li>Accuracy obtained by  code submission run on private test data by the instructor and team.</li>\n</ul>",
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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!\nNeed to submit the code.",
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      "name": "abstract",
      "content": "<h1>GAN-2024-Assignment</h1>\n<h2>Introduction</h2>\n<p>This in-class competition is to classify the remotely sensed images using deep learning architectures. </p>\n\n<h3>Problem Statement</h3>\n<p>The  assignment is to test your designed neural network models for image classification problems. There are 10 classes: Basketball court, Bridge, Crosswalk, Golf, Oilwell, Overpass, Railway, Runway, Swimming pool, Tennis court.</p>\n\n<h3>Submissions</h3>\n<p>For the given test samples, you need to submit a .csv file (with your roll number as the initials for eg. 0123456789.csv) that will contain your model's predictions. </p>\n<p>The submitted file should contain the following:</p>\n<p>ImageID, Label</p>\n<p>For eg.</p>\n<p>101,2</p>\n<p>102,5</p>\n<p>103,1</p>\n<p>104,0</p>\n<p>105,3</p>\n<p>and so on.</p>\n\n<h3>Framework, language and libraries</h3>\n\n<p>You are allowed to use any of these frameworks: Keras, Pytorch, and Tensorflow. Python as the programming language. You can use suitable libraries (Python related) for this assignment.</p>\n\n<h3>Points to remember</h3>\n<ul>\n<li>First of all you need to adhere with the rules.</li>\n<li>The training and testing should be done on the data provided by us. Otherwise, you will be awarded as zero mark for the whole assignment.</li>\n<li>For copied assignment, you will get zero.</li>\n<li>Multiple users for the single student will be penalized (Submission from IITB account is allowed).</li>\n<li>For queries you can reach out to us or you can post it on the discussion forum tab.</li>\n<li>This assignment will help you in understanding the working principle of the frameworks, language, and libraries.</li>\n<li>The marking will be entirely based on performance and number of submissions.</li>\n</ul>\n\n<h3>Timeline</h3>\n<ul>\n<li>Starts: 13 September, 2024 </li>\n<li>Ends: 20 September, 2024</li>\n<li>Code submission: 20 September, 2024 </li>\n</ul>",
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