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Add millimeters in solutions/distance_caculation.py + object-cropping.md visuals (#7860)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Muhammad Rizwan Munawar 2024-01-29 00:34:00 +05:00 • committed by GitHub
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docs/en/guides/object-cropping.md
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@ -16,6 +16,15 @@ Object cropping with [Ultralytics YOLOv8](https://github.com/ultralytics/ultraly
- **Reduced Data Volume**: By extracting only relevant objects, object cropping helps in minimizing data size, making it efficient for storage, transmission, or subsequent computational tasks.
- **Enhanced Precision**: YOLOv8's object detection accuracy ensures that the cropped objects maintain their spatial relationships, preserving the integrity of the visual information for detailed analysis.
## Visuals
| Airport Luggage |
|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| ![Conveyor Belt at Airport Suitcases Cropping using Ultralytics YOLOv8](https://github.com/RizwanMunawar/RizwanMunawar/assets/62513924/648f46be-f233-4307-a8e5-046eea38d2e4) |
| Suitcases Cropping at airport conveyor belt using Ultralytics YOLOv8 |
!!! Example "Object Cropping using YOLOv8 Example"
=== "Object Cropping"