ultralytics 8.3.84

v8.3.84 - `ultralytics 8.3.84` Remove predictions with no masks (#19537)

on Python PyPI

🌟 Summary

The v8.3.84 release brings improvements to YOLO's segmentation handling, documentation clarity, and usability, with a focus on filtering invalid outputs and refining user guidance. 🎉

📊 Key Changes

• 🚀 Segmentation Optimization: YOLO now filters out predictions with empty masks, resulting in more accurate and valuable outputs.
• 📚 Updated Documentation Features:
  • Added a correct YouTube link for SAHI Tiled Inference for better instructional resources. 🎥
  • Improved code examples for consistent and clear understanding of critical tools like Colors class and merge_equals_args. ✨
• ⚙️ Validation Enhancements: Restricted save_hybrid mode to only detection tasks, preventing incorrect usage and evaluation inaccuracies.

🎯 Purpose & Impact

• 🧹 Cleaner Segmentations: By removing predictions lacking usable masks, segmentation results are more reliable and efficient. This streamlines workflows and avoids irrelevant data.
• ✅ Easier Learning & Usage: Updated documentation improves the user experience through better resource links and clearer code examples, easing the learning curve for developers and users.
• ⚠️ Prevents Missteps: Limiting save_hybrid ensures omission of scenarios that could lead to misinterpretation of validation outputs, particularly for non-detection models.

This update is all about boosting the quality and usability of YOLO tools, paving the way for more productive and error-free model usage! 🏆

What's Changed

• Add https://youtu.be/ILqMBah5ZvI to docs by @RizwanMunawar in #19532
• Fix reference docs by @RizwanMunawar in #19528
• Disable save_hybrid for OBB and update docs by @Y-T-G in #19531
• ultralytics 8.3.84 Remove predictions with no masks by @Y-T-G in #19537

Full Changelog: v8.3.83...v8.3.84