Announcing Ultralytics YOLO v8.2.100 Release 
We’re thrilled to announce the release of Ultralytics YOLO v8.2.100! This update brings exciting new features, improvements, and bug fixes to enhance your experience and model performance. Here’s a quick overview of what’s new:
Summary
- New Features: Introduction of YOLOv8-OBB for object counting.
- Improvements: Learning rate adjustments and online learning for better training efficiency.
- Bug Fixes: Various enhancements to streamline your workflow.
New Features
YOLOv8-OBB Object Counting
We’re excited to introduce YOLOv8-OBB, a new feature for object counting. This addition allows for more precise object detection and counting in complex scenes.
- Implemented by @RizwanMunawar in PR #16437.
Improvements
Learning Rate Adjustments
We’ve made significant improvements to learning rate scheduling and warm-up methods, ensuring optimal convergence and stability during training, especially with large datasets.
Online Learning
This release includes online learning capabilities, allowing models to update continuously with new data batches, making it ideal for handling large datasets efficiently.
Bug Fixes
- Default
simplify=True: Simplification is now enabled by default for better performance. Thanks to @inisis in PR #16435. - Documentation Enhancements: Added glossary links for easier navigation and understanding. Kudos to @glenn-jocher in PR #16448.
What’s Changed
- Bump contributor-assistant/github-action from 2.5.1 to 2.5.2 by @dependabot[bot].
For a complete list of changes, check out the full changelog.
Get Involved
We encourage you to try out the new release and share your feedback. Your insights are invaluable in helping us improve and evolve. Visit the release page to download and explore the latest features.
Thank you for being a part of the YOLO community! Your support and collaboration drive our continuous innovation. Happy experimenting! 