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align=\"center\"\u003e\n  \u003cdiv align=\"center\"\u003e\n    \u003cimg src=\"https://github.com/RapidAI/LabelConvert/releases/download/v0/LabelConvertv3.png\" width=\"55%\" height=\"55%\"/\u003e\n  \u003c/div\u003e\n  \u003cbr/\u003e\n\n  \u003ca href=\"\"\u003e\u003cimg src=\"https://img.shields.io/badge/Python-\u003e=3.6,\u003c3.12-aff.svg\"\u003e\u003c/a\u003e\n  \u003ca href=\"\"\u003e\u003cimg src=\"https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/RapidAI/LabelConvert/graphs/contributors\"\u003e\u003cimg src=\"https://img.shields.io/github/contributors/RapidAI/LabelConvert?color=9ea\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/RapidAI/LabelConvert/stargazers\"\u003e\u003cimg src=\"https://img.shields.io/github/stars/RapidAI/LabelConvert?color=ccf\" \u003e\u003c/a\u003e\n  \u003ca href=\"https://pepy.tech/project/label_convert\"\u003e\u003cimg src=\"https://static.pepy.tech/badge/label_convert?period=total\u0026units=abbreviation\u0026left_color=grey\u0026right_color=blue\u0026left_text=Downloads\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://pypi.org/project/label_convert/\"\u003e\u003cimg alt=\"PyPI\" src=\"https://img.shields.io/pypi/v/label_convert\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://choosealicense.com/licenses/apache-2.0/\"\u003e\u003cimg src=\"https://img.shields.io/badge/License-Apache%202-dfd.svg\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://semver.org/\"\u003e\u003cimg alt=\"SemVer2.0\" src=\"https://img.shields.io/badge/SemVer-2.0-brightgreen\"\u003e\u003c/a\u003e\n  \u003ca href=\"https://github.com/psf/black\"\u003e\u003cimg src=\"https://img.shields.io/badge/code%20style-black-000000.svg\"\u003e\u003c/a\u003e\n\n\u003c/div\u003e\n\n## Introduction\n\nA tool for object detection and image segmentation dataset format conversion.\n\nSupports conversion between labelme tool annotated data, labelImg tool annotated data, YOLO, PubLayNet and COCO data set formats.\n\n## Supported conversions\n\n```mermaid\nflowchart LR\n\nA(YOLOv5) --\u003e B(COCO)\nC(YOLOv5 YMAL) --\u003e B\nD(darknet) --\u003e B\nE(labelme) --\u003e B\n\nB --\u003e F(labelImg)\nF --\u003e G(PubLayNet)\nF --\u003e J(YOLOv5)\n\nJ --\u003e H(YOLOv8)\nH --\u003e J\n```\n\n## Installation\n\n```bash\npip install label_convert\n```\n\n## Documentation\n\nFull documentation can be found on [docs](https://rapidai.github.io/LabelConvert/docs) in Chinese.\n\n## Contributing\n\nPull requests are welcome. For major changes, please open an issue first\nto discuss what you would like to change.\n\nPlease make sure to update tests as appropriate.\n\n## License\n\n[Apache 2.0](https://choosealicense.com/licenses/apache-2.0/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frapidai%2Flabelconvert","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frapidai%2Flabelconvert","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frapidai%2Flabelconvert/lists"}