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Update README.md

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@@ -23,6 +23,8 @@ This model detects and segments six types of vehicle damage: cracks, dents, glas
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  ### Class-Specific Performance (Mask Segmentation)
 
 
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  Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95)
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  all 571 1247 0.824 0.75 0.799 0.599 0.827 0.749 0.792 0.576
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  crack 92 152 0.657 0.48 0.545 0.322 0.665 0.483 0.518 0.214
@@ -31,7 +33,7 @@ glass shatter 89 91 0.98 0.989 0.994 0.728
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  lamp broken 103 103 0.91 0.893 0.964 0.791 0.921 0.902 0.967 0.808
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  scratch 281 482 0.728 0.614 0.676 0.421 0.734 0.613 0.68 0.368
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  tire flat 50 53 0.962 0.951 0.982 0.951 0.962 0.949 0.982 0.941
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  ## Training Recipe
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  ```python
 
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  ### Class-Specific Performance (Mask Segmentation)
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+
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+ ```
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  Class Images Instances Box(P R mAP50 mAP50-95) Mask(P R mAP50 mAP50-95)
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  all 571 1247 0.824 0.75 0.799 0.599 0.827 0.749 0.792 0.576
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  crack 92 152 0.657 0.48 0.545 0.322 0.665 0.483 0.518 0.214
 
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  lamp broken 103 103 0.91 0.893 0.964 0.791 0.921 0.902 0.967 0.808
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  scratch 281 482 0.728 0.614 0.676 0.421 0.734 0.613 0.68 0.368
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  tire flat 50 53 0.962 0.951 0.982 0.951 0.962 0.949 0.982 0.941
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+ ```
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  ## Training Recipe
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  ```python