Announcing Ultralytics YOLO v8.2.91 Release
Summary
We’re excited to announce the release of Ultralytics YOLO v8.2.91! This update focuses on enhancing the YOLOv10 model by renaming the v10DetectLoss
module to E2EDetectLoss
, introducing new benchmarks, and improving documentation for a smoother user experience.
Key Changes
New Features
- Module Renaming: The
v10DetectLoss
module in YOLOv10 has been renamed toE2EDetectLoss
, addressing several user-reported issues and ensuring better integration.
Improvements
- Enhanced Benchmarks: Additional benchmarks for YOLOv10 provide comprehensive insights into model performance and efficiency.
- Documentation Updates: We’ve updated our documentation using macros for clearer and more consistent argument tables, making it easier for users to navigate and understand.
Purpose & Impact
- Issue Resolution: This release resolves multiple complaints about module misnaming, ensuring smoother functionality for developers.
- Performance Insights: New benchmarks allow users to assess YOLOv10’s performance in detail.
- Documentation Clarity: Improved documentation ensures consistency and ease of use for both new and experienced users.
What’s Changed
- Add YOLOv10 to Raspberry Pi CI by @lakshanthad
- Update NVIDIA Jetson TensorRT Benchmarks by @lakshanthad
- Updated Macros in Documentation by @MatthewNoyce
- Fix
v10DetectLoss
Module Rename for YOLOv10 by @Y-T-G
Full Changelog: v8.2.90…v8.2.91
Try It Out!
We encourage you to try out the new release and share your feedback. Your insights are invaluable in helping us improve and deliver the best possible experience.
For more details, visit the release page.
Thank you for being a part of the YOLO community!