Add compare pages

[glenn-jocher]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

WARNING ⚠️ this PR is very large, summary may not cover all changes.

🌟 Summary

This PR introduces comprehensive technical comparison documentation for DAMO-YOLO and EfficientDet against multiple state-of-the-art object detection models, highlighting architecture, performance, and use-case suitability.

📊 Key Changes

• 📄 Comparison Pages Added:
  • DAMO-YOLO vs models like YOLOv8, YOLOv9, PP-YOLOE+, EfficientDet, RTDETRv2, etc.
  • EfficientDet vs YOLO models (YOLOv8, YOLOv9, YOLO11), RTDETRv2, and PP-YOLOE+.
• 💡 Comparison Metrics:
  • mAP (mean Average Precision), inference speeds (CPU ONNX, TensorRT), parameters, and FLOPs.
  • Architectural strengths, weaknesses, and model-specific innovations like BiFPN in EfficientDet or GELAN & PGI in YOLOv9.
• 🎯 Use Cases:
  • Scenario-specific recommendations for edge devices, real-time applications, and resource-constrained deployments.

🎯 Purpose & Impact

• Purpose: Help users select the ideal detection model based on their project's accuracy, speed, and resource requirements.
• Impact:
  • Simplifies decision-making by outlining strengths and trade-offs of each model.
  • Broadens understanding of model capabilities for diverse applications like robotics, video surveillance, or autonomous systems.
  • Enhances accessibility of Ultralytics' ecosystem through intuitive comparative guidance. 🚀

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Name	Status	Preview	Comments	Updated (UTC)
docs	✅ Ready (Inspect)	Visit Preview	💬 Add feedback	Jan 27, 2025 0:07am

[UltralyticsAssistant]

👋 Hello @glenn-jocher, thank you for submitting the Add compare pages 🚀 PR to the Ultralytics docs repository! To ensure a smooth review and integration, please follow the checklist below:

• ✅ Define a Purpose: Clearly explain the scope and purpose of your PR in the description, linking to any relevant issues. Be sure commit messages are clear and match contributing guidelines.
• ✅ Clean Commit History: Ensure your commits represent clear and logical progressions. Use git rebase or git squash if necessary for verbosity reduction.
• ✅ Synchronize with Source: Verify that your PR is up-to-date with the main branch of https://github.com/ultralytics/docs repos you.

[UltralyticsAssistant]

🎉 Big news—your PR has been merged, @glenn-jocher! 🚀 Thank you for your incredible work on creating such detailed comparisons for DAMO-YOLO, EfficientDet, and other cutting-edge models. Your effort in breaking down metrics, architecture, and use-case insights will undoubtedly empower developers to make more informed decisions and bring new clarity to the world of object detection. 🔍✨

As Marcus Aurelius once said, "What we do now echoes in eternity." Your contribution will echo far and wide, helping countless users navigate complex choices to build smarter, faster, and more impactful AI solutions. Bravo and onward! 🙌