🌟 Summary
The YOLO11 v8.3.92
release focuses on enhancing single-class training functionality, improving compatibility for TensorFlow exports, and refining documentation. These updates aim to provide a smoother user experience and expanded capabilities for diverse use cases. 🚀
📊 Key Changes
- Single-Class Training Fix: Resolved a cache error during single-class training by updating label processing logic.
- TensorFlow Export Update: Added
ai-edge-litert>=1.2.0
as a dependency for improved TensorFlow model export compatibility. - Python Version Check Fix: Corrected version comparison logic for Jetson devices to prevent unnecessary dependency downgrades.
- Documentation Enhancements: Improved clarity, formatting, and examples across multiple sections, including YOLO11 integration and dataset usage.
- Customizable Text Colors: Introduced a
txt_color
parameter for detection result annotations, allowing users to specify RGB text colors.
🎯 Purpose & Impact
- Improved Training Flexibility: The single-class training fix ensures smoother workflows for users focusing on specific object categories.
- Enhanced Export Reliability: TensorFlow users benefit from more stable and efficient model exports, especially for edge AI applications.
- Broader Compatibility: Fixes for Python version checks enhance usability on Jetson devices, avoiding unnecessary compatibility issues.
- User-Friendly Documentation: Updated guides and examples make it easier for users to understand and utilize YOLO11 features effectively.
- Customizable Visual Outputs: The new
txt_color
parameter allows for more professional and adaptable visualizations, aligning with project-specific requirements. 🌈
These updates collectively enhance the usability, flexibility, and professional output of YOLO11, catering to a wide range of user needs. 🌟
What's Changed
- Add
ai-edge-litert>=1.2.0
to exporter.py by @glenn-jocher in #19727 - Fix
Autobackend
Python version check by @Auc7us in #19722 - Docs
/usage
updates by @glenn-jocher in #19731 - Fix broken links in docs by @RizwanMunawar in #19734
- Bump astral-sh/setup-uv from 4 to 5 in /.github/workflows by @dependabot[bot] in #19736
- Documentation fixes and improvements by @glenn-jocher in #19749
- Expose
txt_color
parameter for Results plots by @zanaries in #19718 ultralytics 8.3.92
Fixsingle_cls
training cache error by @Y-T-G in #19739
New Contributors
Full Changelog: v8.3.91...v8.3.92