# YOLO2COCO

**Repository Path**: RapidAI/YOLO2COCO

## Basic Information

- **Project Name**: YOLO2COCO
- **Description**: Gitee仓库主要用作备份使用，主仓库参见：https://github.com/RapidAI/YOLO2COCO
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-04-23
- **Last Updated**: 2023-11-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: 目标检测, yolox

## README

<div align="center">
  <img src="https://github.com/RapidAI/LabelConvert/releases/download/v0/LabelConvertv3.png" width="55%" height="55%"/>
</div>

## Label Convert

<p align="left">
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</p>

A dataset format conversion tool for object detection and image segmentation, which supports mutual conversion between **labelme, labelImg tools and YOLO, VOC, and COCO** dataset formats.

## Supported conversions
```mermaid
flowchart LR

A(YOLO) --> B(COCO)
C(YOLO YMAL) --> B
D(darknet) --> B
E(labelme) --> B

B --> F(labelImg)
F --> G(PubLayNet)
F --> J(YOLO)
```

## Installation
```bash
pip install label_convert
```

## Documentation
Full documentation can be found on [docs](https://rapidai.github.io/LabelConvert/docs).


## Contributing
Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.

Please make sure to update tests as appropriate.


## License
[Apache 2.0](https://choosealicense.com/licenses/apache-2.0/)