ultralytics 8.3.94 on Python PyPI

🌟 Summary

The YOLO 8.3.94 release focuses on improving segmentation validation efficiency and enhancing documentation and code clarity across the project. 🚀

Segmentation Validation Improvements:
- Increased the limit of plotted masks during validation to 50 for better visualization.
- Added a warning when more than 50 masks are plotted to maintain speed and user awareness.
- Updated maximum detection limit for plotting predictions to 50 for consistency. ⚡
Documentation Enhancements:
- Updated YOLOE documentation with corrected benchmarks and clarified threading and Ray Tune integration.
- Fixed inaccuracies in the Tiger Pose dataset description.
Code Standardization:
- Replaced uppercase Dict, List, and Tuple with lowercase counterparts (dict, list, tuple) in type hints for modern Python compatibility.
JavaScript Optimization:
- Improved JS minification logic for cleaner and more efficient documentation handling.

Enhanced User Experience:
- Improved segmentation validation plots provide more comprehensive insights into model performance while maintaining speed.
- Clearer documentation ensures better understanding of YOLOE's capabilities and usage.
Consistency and Modernization:
- Standardized type hints align with Python best practices, improving code readability and maintainability.
Efficiency Gains:
- Optimized JavaScript handling reduces file sizes, enhancing documentation performance.

This update ensures a smoother and more efficient experience for developers and users working with YOLO models. 🌟

Update YOLOE Docs page by @Laughing-q in #19776
Use lowercase dict/list/tuple for type hint in docstrings by @Laughing-q in #19771
Fix JS Minification by @glenn-jocher in #19786
Fix tiger-pose dataset description in docs by @RizwanMunawar in #19789
ultralytics 8.3.94 Limit Segment val plots to 50 items/image for speed by @Y-T-G in #19792

Full Changelog: v8.3.93...v8.3.94