🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

This PR introduces the YOLO11 model, replacing YOLOv8, with updated architecture and improved performance metrics across various tasks.

📊 Key Changes

• Adjusted CI files to test the new YOLO11 models.
• Updated documentation, README, and example files to reflect the transition from YOLOv8 to YOLO11.
• Revised Dockerfiles for compatibility with YOLO11.
• Added YOLO11-specific model configuration files.
• Updated augmentation and block modules for improved performance.

🎯 Purpose & Impact

• Enhanced Performance: YOLO11 provides better accuracy and efficiency with fewer parameters, improving real-time object detection and versatility.
• Expanded Flexibility: Supports tasks like instance segmentation, pose estimation, and more, broadening application scopes from edge devices to cloud platforms.
• Updated Resources: Documentation and resources now align with the latest model advancements, aiding user adoption and experience.