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Update README.md

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@@ -18,18 +18,18 @@ Proactive road defect detection system.
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  - **Base Model:** yolo26m.pt (Ultralytics)
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  - **Dataset:** RDD2022 (Road Damage Detection 2022)
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  - **Classes:** crack, other, pothole
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- - **mAP50:** 0.637
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  - **Epochs:** 65
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  - **Image Size:** 640
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  - **Training Hardware:** NVIDIA A100
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  ## Validation Results
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- | Class | mAP50 | Precision | Recall |
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- |-------|-------|-----------|--------|
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- | all | 0.637 | 0.692 | 0.584 |
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- | crack | 0.605 | 0.717 | 0.517 |
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- | other | 0.792 | 0.719 | 0.745 |
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- | pothole | 0.513 | 0.639 | 0.490 |
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  ## Classes
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  | ID | Label | Description |
 
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  - **Base Model:** yolo26m.pt (Ultralytics)
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  - **Dataset:** RDD2022 (Road Damage Detection 2022)
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  - **Classes:** crack, other, pothole
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+ - **mAP50:** 0.636
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  - **Epochs:** 65
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  - **Image Size:** 640
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  - **Training Hardware:** NVIDIA A100
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  ## Validation Results
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+ | Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
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+ |-------|--------|-----------|-----------|--------|-------|----------|
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+ | all | 5758 | 9737 | 0.687 | 0.585 | 0.636 | 0.349 |
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+ | crack | 3266 | 7209 | 0.714 | 0.520 | 0.605 | 0.321 |
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+ | other | 1093 | 1563 | 0.714 | 0.745 | 0.792 | 0.493 |
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+ | pothole | 544 | 965 | 0.635 | 0.491 | 0.512 | 0.233 |
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  ## Classes
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  | ID | Label | Description |