{
  "fetched_at": "2026-10-19T16:42:49Z",
  "source_url": "https://www.kaggle.com/competitions/fit-5215-object-detection-s-2-2024/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This page contains the datasets and their information for the FIT5215 object classification competition. There are three zip and one CSV file as follows:\n\n- **train_dataset**: the labeled training set with 10,000 images and 20 classes.\n\n- **test_dataset**: the unlabeled testing dataset of images of the size (64, 64, 3).\n\n- **my_solution.csv**: the template for a submitted file.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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\nThe students can use any techniques in machine learning and deep learning in this competition. This is an individual competition and your team name must contain your student ID to facilitate us in marking.\n\nHope that you enjoy this competition. Have funs!!",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "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>\n  \n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "- You can use any machine and deep learning techniques.\n- You can use the test set as a unlabeled portion to improve the performance.\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}