README.md

---
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.

```text
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.