ultralytics 8.1.6 revert 8.0.206 box ops box scaling

[glenn-jocher]

@abirami-vina small fix here as I see https://docs.ultralytics.com/integrations/onnx/ isn't rendering admonitions correctly.

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

🌟 Summary

Enhancement of segmentation datasets and documentation for increased applicability in various domains.

📊 Key Changes

• Introduced new segmentation datasets: Carparts (carparts-seg), Crack (crack-seg), and Package (package-seg) with respective YAML configuration files.
• Updated documentation to include the new datasets and provide clear instructions on how to use them.
• Incremented the Ultralytics YOLO software version to 8.1.6.

🎯 Purpose & Impact

• The addition of new datasets reflects Ultralytics’ commitment to expanding the versatility and applicability of its models across different industries such as automotive (🚗), infrastructure maintenance (🛣️), and logistics (📦).
• Users benefit from a wider range of pre-configured datasets, allowing them to more quickly and easily train models specific to their domain needs.
• The clear, updated documentation and example YAML files streamline the process of using these datasets for training and deploying YOLO models.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (1a04cd3) 76.92% compared to head (4314fe0) 39.39%.

Additional details and impacted files

@@             Coverage Diff             @@
##             main    #7823       +/-   ##
===========================================
- Coverage   76.92%   39.39%   -37.53%     
===========================================
  Files         117      117               
  Lines       14413    14413               
===========================================
- Hits        11087     5678     -5409     
- Misses       3326     8735     +5409     

Flag	Coverage Δ
Benchmarks	?
GPU	39.39% <100.00%> (+0.01%)	⬆️
Tests	?

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.