README.md

metadata

license: cc-by-4.0
task_categories:
  - image-classification
language:
  - en

FruitDet

A community-driven fruit image classification dataset containing real-world fruit images collected from various environments.
All images are standardized and resized to 920×1080 pixels for easy use in deep learning pipelines.

Features

• Real-world images from diverse sources
• 19 fruit/vegetable categories, each category has 30 images
• All images resized to 920×1080 pixels
• Standardized naming convention ({class}_0000.jpg)
• Clean folder structure ready for PyTorch, TensorFlow, and other frameworks
• No hidden or temporary folders in the repository

Classes

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

Repository Structure

Only the standardized image files exist inside each class folder. No extra folders (like main/ or resized/) are present in the repository.

data/
├── apple/
│   ├── apple_0000.jpg
│   ├── apple_0001.jpg
│   ├── apple_0002.jpg
│   └── ...
├── avocado/
│   ├── avocado_0000.jpg
│   ├── avocado_0001.jpg
│   └── ...
├── banana/
│   ├── banana_0000.jpg
│   └── ...
├── blackberry/
├── carrot/
├── cherry/
├── grape/
├── kiwi/
├── lemon/
├── onion/
├── orange/
├── papaya/
├── peach/
├── pear/
├── pepper/
├── raspberry/
├── strawberry/
└── tomato/
    ├── tomato_0000.jpg
    └── ...

License

This dataset is licensed under CC BY 4.0.

Users 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.