🎉 Exciting Update: YOLO11 Models Now Supported in X-AnyLabeling! 🚀

[CVHub520]

Dear X-AnyLabeling Community,

I'm thrilled to announce a major update to our project! 🌟 We've successfully integrated YOLO11 Det/OBB/Pose/Seg/Track models from ultralytics v8.3.0 into X-AnyLabeling.

What's New ✨

X-AnyLabeling now supports YOLO11 models for:

• Object Detection 🔍
• Oriented Bounding Box (OBB) 📦
• Pose Estimation 🤸
• Segmentation 🧩
• Tracking 🏃‍♂️

Why This Matters 🤔

This integration significantly expands our toolkit, allowing for more advanced and diverse labeling capabilities. Whether you're working on autonomous driving, surveillance, or any other computer vision project, these new models will enhance your labeling experience.

How to Use 🖱️

Check out the latest release for detailed instructions on how to leverage these new YOLO11 models in your projects. Documentation has been updated to reflect these changes.

Acknowledgements 🙏

A huge thank you to the ultralytics team for their outstanding work on YOLO11. Their continuous innovation in the field of computer vision is truly inspiring.

Feedback and Contributions 📣

As always, your feedback is invaluable. If you encounter any issues or have suggestions for improvements, please open an issue. Pull requests for enhancements are always welcome!

Let's push the boundaries of computer vision labeling together! 💪

Happy Labeling!

Creator of X-AnyLabeling

P.S. Spread the word! If you're excited about this update, consider giving us a star on GitHub or sharing this news with your network. (⌐■_■)