🌟 Summary
The v8.2.81 release of Ultralytics YOLO introduces significant documentation improvements and a refined model upload process to enhance usability and reliability for machine learning practitioners.
📊 Key Changes
- Documentation Enhancements: Updated how code examples and citations are presented across various dataset guides to improve readability and user accessibility.
- Model Upload Process: Improved handling of model uploads with added safeguards and informative logging, particularly in transient environments like Google Colab.
- Technical Adjustment: Corrected bounding box conversion details in the results module, changing from top-left coordinates to center-point coordinates.
🎯 Purpose & Impact
- Easier Understanding and Use: The new documentation format with examples in both Python and CLI makes it more straightforward for users to implement various datasets in their projects.
- Robust Model Management: Enhanced model upload functionality ensures continuity and mitigates issues in cloud-based environments, promoting more reliable training sessions.
- Accurate Representation: The bounding box conversion adjustment aligns technical descriptions with actual functionalities, ensuring users correctly apply transformations.
What's Changed
- Add https://youtu.be/WwXnljc7ZUM to docs by @RizwanMunawar in #15751
- Improve Docs dataset layout issues by @jk4e in #15696
- Fix
xywhdocstring by @Laughing-q in #15765 - Ensure matplotlib backend gets reset with plt_settings by @rschroll in #15759
ultralytics 8.2.81fix HUB missing 'best.pt' resumed checkpoint upload by @glenn-jocher in #15754
New Contributors
Full Changelog: v8.2.80...v8.2.81