# LabelConvert

**Repository Path**: RapidAI/LabelConvert

## Basic Information

- **Project Name**: LabelConvert
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-01-25
- **Last Updated**: 2024-12-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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

## Introduction

A tool for object detection and image segmentation dataset format conversion.

Supports conversion between labelme tool annotated data, labelImg tool annotated data, YOLO, PubLayNet and COCO data set formats.

## Supported conversions

```mermaid
flowchart LR

A(YOLOv5) --> B(COCO)
C(YOLOv5 YMAL) --> B
D(darknet) --> B
E(labelme) --> B

B --> F(labelImg)
F --> G(PubLayNet)
F --> J(YOLOv5)

J --> H(YOLOv8)
H --> J
```

## Installation

```bash
pip install label_convert
```

## Documentation

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

## 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/)