{
  "fetched_at": "2026-10-22T08:26:28Z",
  "source_url": "https://www.kaggle.com/competitions/ee370000-introduction-to-machine-learning-labbonus/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Files\nthe dataset is on the google drive.\nhttps://drive.google.com/drive/folders/1BphNmQHn49alv462hrEyV0_FnjQKSTIc?usp=drive_link\ntrain - the training set\ntest - the test set\nsubmission_sample.csv - a sample submission file in the correct format",
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      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Description",
      "content": "Dataset\nwe selected 109 species of birds from the BIRDS 525 SPECIES dataset as this dataset.\n20047 training images, 2172 test images(about 20 images per species). This is a very high quality dataset where there is only one bird in each image and we have add some distortion. All images are 224 X 224 X 3 color images in jpg format. Data set includes a train set, test set. Training set contains 109 sub directories, one for each bird species.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
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    },
    {
      "name": "Evaluation",
      "content": "Submissions are evaluated on [recall] between the predicted probability and the observed target.\n\n## Submission File\nFor each ID in the test set, you must predict a probability for the target variable. The file should contain a header and have the following format:\n\n    ID,label\n    2,0\n    5,0\n    6,0\n    etc.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "1. The competition will end at the end of class (12/13 10:00)\n2. Late submission is not allowed\n3. Try any advanced method to improve performance\n4. This Kaggle challenge is provided as a bonus for everyone (bonus: 1% of total grade for those higher than baseline)\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "abstract",
      "content": "This is a multiclass image classification.\nDifferent from Lab demo, you can try any advanced method you know to improve performance.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}