{
  "fetched_at": "2026-10-19T09:03:11Z",
  "source_url": "https://www.kaggle.com/competitions/fit5215-s2-2021-animal-classification/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This page contains the datasets and their information for the FIT5215 animal classification competition. There are three zip and one CSV file as follows:\n\n- **train_dataset**: the labeled training set with 5000 images and ten classes.\n\n- **test_dataset**: the unlabeled testing dataset of images of the size (64, 64, 3).\n\n- **guideline_code**: the template for the CSV  submission file and the code to load and process the testing set together with the code to create a  submitted  CSV file from the model predictions.\n\n- **my_solution.csv**: the template for a submitted file.",
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      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "Description",
      "content": "This is the home page of the competition. This competition is organized for the FIT5215: Deep Learning unit at Monash University. The students who are interested can join in this competition.\n\nIf you are in the top 10, you will be awarded *5 points*, while if you are in the top 3, you will be awarded *10 points*. Especially, if you are the winner (i.e., top 1), you will be awarded a *free ML and DL book* (<150 AUDs) of your choice from the teaching team.\n\n\nPlease note that if you are in the top 10, you need to submit a brief document to describe your network and the pre-trained model that obtains the final results leading you to a position in the top 10 leader board.\n\nHope that you enjoy this competition. Have funs!!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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      "mimeType": "",
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    },
    {
      "name": "Evaluation",
      "content": "<p></p><h2>Evaluation Metric</h2>\n<p>The evaluation metric for this competition is the accuracy </p><p>\n</p><h2>Submission Format</h2>\n<p><strong>Please follow the file my_solution.csv in the tab Data to submit your result.</strong></p>",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}