{
  "fetched_at": "2026-10-19T16:30:03Z",
  "source_url": "https://www.kaggle.com/competitions/applai-cv-st23-assignment-4/data",
  "pages": [
    {
      "name": "data-description",
      "content": "This dataset aims to facilitate object detection tasks specifically focused on fruit detection. It comprises 240 images in the training folder and an additional 60 images in the testing folder.\n\n# Content:\nThe dataset encompasses images depicting three distinct types of fruits:\n\n- Apple\n- Banana\n- Orange\n\n# Your Target:\nYour primary objective is to develop an effective fruit detection system capable of accurately identifying and localizing the fruits present in the given images.\n\n# Acknowledgements:\nThe .xml files accompanying the dataset have been conveniently generated using LabelImg, an intuitive tool designed for labeling objects within images.\n\n",
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      "name": "Evaluation",
      "content": "The metric used is the **mean average precision (mAP)**, which measures the accuracy of the model's predicted bounding boxes compared to the ground truth bounding boxes.\n\n\nSubmission 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   ```python\n   ImageID,PredictionString\n   apple_77,apple 1 71 60 175 164;apple 1 12 22 105 111;apple 1 134 23 243 115\n   apple_78,apple 1 10 8 344 336\n   apple_79,apple 1 77 183 641 716\n   apple_80,apple 1 155 105 453 436\n   apple_81,apple 1 70 398 1388 1731\n   apple_82,apple 1 65 122 365 404\n```\n\nthe **PredictionString** written as \n```python\nclass_name confidence xmin ymin xmax ymax;class_name confidence xmin ymin xmax ymax ..... and so on.\n```",
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    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n- Ask for help!\n - Have fun!",
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    {
      "name": "abstract",
      "content": "Welcome to **Assignment 4** for the Computer Vision Summer Training hosted by **ApplAI**!\n\nIn this assignment, you will have the chance to demonstrate your skills in fruit image object detection using computer vision techniques. Your goal is to **develop a model capable of accurately detecting different types of fruits**.\n\nWe wish you success in this assignment and encourage you to explore and employ various techniques to achieve the highest accuracy possible in fruit image object detection. Good luck!",
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