🌟 Summary
The release of v8.3.32 introduces a major new dataset called "Dog-pose", designed for pose estimation tasks, along with some important improvements and fixes.
📊 Key Changes
- Dog-pose Dataset: Added a new dataset consisting of approximately 6,000 images with detailed annotations for 24 keypoints per dog, specifically for pose estimation using YOLO11.
- Documentation Update: Enhanced guides and introductory materials for the Dog-pose dataset, including usage through Python and CLI examples.
- Link Fix: Corrected a broken URL in the Jetson device setup documentation.
- Workflow Update: Extended retry delay for link checks in the GitHub workflow to enhance reliability.
- Efficiency Fix: Improved conditional logging for WandB reporting by checking the availability of plot data.
🎯 Purpose & Impact
- 🐕 Enhanced Pose Estimation: The Dog-pose dataset greatly expands capabilities in animal pose estimation, useful in fields like veterinary research and animal behavior analysis.
- 📘 User-Guidance: Updated documentation makes it easier for users to leverage the new dataset effectively in their projects.
- 🔧 Improved Accessibility: Fixing documentation links enhances user experience by providing direct access to the correct setup resources.
- 🕒 Optimized Workflow: Longer delays between retries in automated link checks reduce server loads and improve the reliability of workflows.
- 🎨 Efficient Resource Use: The logging enhancement prevents the saving of unnecessary plots, optimizing storage and improving artifact management in model training.
What's Changed
- Fix broken Jetson Doc URL by @lakshanthad in #17549
- Update links.yml to 900s delay by @glenn-jocher in #17576
- Fix: wandb reporting error if no positive examples by @Jamil in #17544
ultralytics 8.3.32New Dog-Pose dataset by @RizwanMunawar in #17556
New Contributors
Full Changelog: v8.3.31...v8.3.32