{
  "fetched_at": "2026-10-19T13:06:59Z",
  "source_url": "https://www.kaggle.com/competitions/ee4211-object-detection/data",
  "pages": [
    {
      "name": "data-description",
      "content": "### The dataset includes:\n\n- Training data: 1000 images.\n\n- Testing data: 300 images.\n\n- ### Training bounding boxes can be downloaded below: **train_boundingboxes.csv** - the training set\n\n## Columns\n\n*   `ImmageId` - definition of example_id\n*   `PredictionString` - definition of Xmin, Ymin, Xmax, Ymax",
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    {
      "name": "Description",
      "content": "This is the home page of the EE4211 course project - detection task. \n\nYou need to perform the bird detection task using the given CUB-200-2011 dataset. \n\nThis dataset is for internal academic research of the course only and cannot be used commercially.",
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    {
      "name": "Evaluation",
      "content": "Submissions on EE4211 course project - detection task are evaluated by computing Mean Squared Error (MSE). \n\n###  Submission File\nFor each image in the test set, you must predict a list of boxes describing objects in the image. Each box is described as\n  ```\nImageID,PredictionString, PredictionString, PredictionString, PredictionString\nImageID,XMin, YMin, XMax, YMax\n\n```",
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    },
    {
      "name": "rules",
      "content": "- Don't cheat!\n- Apply yourself!\n- Have fun!",
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