README.md

metadata

license: cc-by-4.0
task_categories:
  - object-detection
language:
  - en

FruitDet – Object Detection Dataset

A community-driven fruit image dataset annotated for object detection, original repo.
The images are real-world fruit photos collected from various environments. All images have been resized to 920×1080 pixels, and each fruit instance is labeled with a bounding box in YOLO format.

Features

• Real-world images from diverse sources
• 19 fruit/vegetable categories, each containing 30 images
• All images resized to 920×1080 pixels
• YOLO‑format annotations: each image has a corresponding .txt file with bounding box coordinates
• Dataset split into train (20 images), val (5 images), and test (5 images) per class
• Each class folder includes a classes.txt file listing the category names (one per split)
• Standardized naming convention ({class}_0000.jpg and {class}_0000.txt)
• Clean folder structure, ready for YOLO-based frameworks (YOLOv5, YOLOv8, YOLOv9, etc.)

Annotation Format

Bounding boxes are stored in the standard YOLO format:

class_id x_center y_center width height

• class_id – integer index of the class (0‑based)
• x_center, y_center – normalized coordinates of the box center (0–1)
• width, height – normalized dimensions of the box (0–1)

Each image file (e.g., apple_0000.jpg) has a corresponding label file with the same name (apple_0000.txt) placed in the same directory.
Each class folder also contains a classes.txt file that maps class indices to class names.

Classes

• Apple
• Avocado
• Banana
• Blackberry
• Carrot
• Cherry
• Grape
• Kiwi
• Lemon
• Onion
• Orange
• Papaya
• Peach
• Pear
• Pepper
• Raspberry
• Strawberry
• Tomato

Repository Structure

The repository is organized with separate images/ and labels/ directories for each class, further split into train/, val/, and test/ subsets. Each split contains its own classes.txt file.

data/
├── apple/
│   ├── images/
│   │   ├── train/
│   │   │   ├── apple_0000.jpg
│   │   │   ├── apple_0001.jpg
│   │   │   └── ...
│   │   ├── val/
│   │   │   ├── apple_0025.jpg
│   │   │   └── ...
│   │   └── test/
│   │       ├── apple_0020.jpg
│   │       └── ...
│   └── labels/
│       ├── train/
│       │   ├── apple_0000.txt
│       │   ├── apple_0001.txt
│       │   ├── ...
│       │   └── classes.txt
│       ├── val/
│       │   ├── apple_0025.txt
│       │   ├── ...
│       │   └── classes.txt
│       └── test/
│           ├── apple_0020.txt
│           ├── ...
│           └── classes.txt
├── avocado/
│   ├── images/
│   │   ├── train/
│   │   ├── val/
│   │   └── test/
│   └── labels/
│       ├── train/
│       ├── val/
│       └── test/
├── banana/
│   └── ...
├── blackberry/
├── carrot/
├── cherry/
├── grape/
├── kiwi/
├── lemon/
├── onion/
├── orange/
├── papaya/
├── peach/
├── pear/
├── pepper/
├── raspberry/
├── strawberry/
└── tomato/

License

This dataset is licensed under CC BY 4.0.

You are free to:

• Use
• Modify
• Redistribute
• Use commercially

As long as proper attribution is provided.

Citation

If this dataset contributes to your research or project, please cite this repository.