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README.md
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@@ -120,4 +120,18 @@ Base model: YOLOv8n (Nano)
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* Images resized to 512×512
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* Bounding box annotations normalized
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* Augmented images generated before training
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* Images resized to 512×512
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* Bounding box annotations normalized
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* Augmented images generated before training
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***
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# Evaluation Results
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### Overall Metrics
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**Final model performance at epoch 41:**
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| Metric | Score |
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| --------- | ----- |
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| mAP@50 | 0.97 |
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| mAP@50–95 | 0.78 |
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| Precision | 0.93 |
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| Recall | 0.91 |
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| F1 Score | 0.94 |
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*These results exceed the predefined project success criteria.*
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**Per-Class Performance**
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