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Pierre-Marie.fayette
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README.md

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[![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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## Links
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- **Documentation**: [Read the Docs](https://pyimagelabeling.readthedocs.io/)
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- **GitHub Repository**: [View codesource](https://github.com/crillab/PyImageLabeling).
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- **PyPI**: [Install via pip](https://pypi.org/project/PyImageLabeling/).
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> **A powerful and intuitive tool for creating image masks and annotations for Machine Learning model training**
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PyImageLabeling is designed to streamline the creation of image masks (labeled images) that can be used to train Machine Learning models. With its comprehensive set of annotation tools and user-friendly interface, you can efficiently label and annotate images for computer vision tasks.
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| **Eraser** | Remove annotations with size control and "Absolute" mode for loaded layer editing |
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| **Clear All** | Reset canvas by removing all current annotations |
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## Links
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- **Documentation**: [Read the Docs](https://pyimagelabeling.readthedocs.io/)
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- **GitHub Repository**: [View codesource](https://github.com/crillab/PyImageLabeling).
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- **PyPI**: [Install via pip](https://pypi.org/project/PyImageLabeling/).
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## License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

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