Update image count information for COCO-Pose

[Y-T-G]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Updated documentation and dataset configuration for COCO-Pose to reflect accurate image counts across subsets and updated competition links.

📊 Key Changes

• 📚 Corrected image counts in the COCO-Pose dataset:
  • Train2017: 56,599 images (previously "a portion of 118k").
  • Val2017: 2,346 images (previously "a selection for validation").
• 🔗 Updated COCO evaluation server link to the newer lisn.upsaclay.fr competition server.
• 📝 Adjusted coco-pose.yaml configuration file to align with new image counts for training, validation, and testing subsets.

🎯 Purpose & Impact

• ✅ Clarity: Ensures documentation and configuration reflect the actual dataset structure and counts, avoiding confusion for users.
• 🌐 Updated Links: Redirects users to the correct COCO evaluation platform, enhancing accessibility.
• 🚀 Improved Usability: Simplifies training process by aligning training configuration with verified data subsets.

These updates enhance the accuracy and usability of the COCO-Pose resources for pose estimation tasks. 🦾

[UltralyticsAssistant]

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 73.88%. Comparing base (3b897a3) to head (791fc7a).
Report is 3 commits behind head on main.

Additional details and impacted files

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##             main   #18395   +/-   ##
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  Coverage   73.88%   73.88%           
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  Files         129      129           
  Lines       17248    17248           
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  Hits        12743    12743           
  Misses       4505     4505           

Flag	Coverage Δ
Benchmarks	34.94% <ø> (ø)
GPU	38.36% <ø> (ø)
Tests	67.66% <ø> (ø)

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[glenn-jocher]

@Y-T-G great improvements, nice and quantifiable!

[UltralyticsAssistant]

🎉 Huge thanks to @Y-T-G for the stellar PR and to @glenn-jocher for the collaboration—your contributions are now merged! 🌟

By refining the COCO-Pose dataset configuration and links, you've helped ensure clarity and usability for the community. As Leonardo da Vinci said, "Simplicity is the ultimate sophistication." This update embodies that wisdom by making complex tasks more accessible and accurate for everyone. 🚀

Your work inspires progress—thank you for helping us shape tools that make a difference! 💪