https://github.com/rapidai/labelconvert
🔄 A tool for object detection and image segmentation dataset format conversion.
https://github.com/rapidai/labelconvert
coco convert labelimg-tool labelme-annotations publaynet yolov5 yolov6 yolov8 yolox
Last synced: 15 days ago
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🔄 A tool for object detection and image segmentation dataset format conversion.
- Host: GitHub
- URL: https://github.com/rapidai/labelconvert
- Owner: RapidAI
- License: apache-2.0
- Created: 2021-07-24T08:17:00.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2024-12-11T00:16:45.000Z (4 months ago)
- Last Synced: 2025-03-31T23:33:47.808Z (22 days ago)
- Topics: coco, convert, labelimg-tool, labelme-annotations, publaynet, yolov5, yolov6, yolov8, yolox
- Language: Python
- Homepage: https://rapidai.github.io/LabelConvert/docs
- Size: 26.5 MB
- Stars: 301
- Watchers: 3
- Forks: 68
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
## 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/)