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Update README.md

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@@ -29,7 +29,7 @@ EULPR is a computer-vision model architecture purpose-built for detecting, readi
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  - **Detection Rate**: 100.0%
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  - **Text Extraction Rate**: 100.0%
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  - **Processing Speed**: 7.6 FPS
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- - **Model Size**: YOLOv8 Nano (~12.3MB)
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  ### Supported Languages
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@@ -107,8 +107,8 @@ print(results)
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  ### Model Architecture
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- #### Detection Model (YOLOv8n)
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- - **Architecture**: YOLOv8 Nano
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  - **Parameters**: ~3M
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  - **Input Size**: 640x640 pixels
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  - **Output**: Bounding boxes for license plates
@@ -125,7 +125,7 @@ print(results)
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  - **Batch Size**: 16
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  - **Image Size**: 640x640
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  - **Optimizer**: AdamW
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- - **Framework**: Ultralytics YOLOv8
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  ### Use Cases
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  - **Detection Rate**: 100.0%
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  - **Text Extraction Rate**: 100.0%
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  - **Processing Speed**: 7.6 FPS
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+ - **Model Size**: YOLOv12 Nano (~10.5MB)
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  ### Supported Languages
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  ### Model Architecture
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+ #### Detection Model (YOLOv12n)
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+ - **Architecture**: YOLOv12 Nano
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  - **Parameters**: ~3M
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  - **Input Size**: 640x640 pixels
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  - **Output**: Bounding boxes for license plates
 
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  - **Batch Size**: 16
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  - **Image Size**: 640x640
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  - **Optimizer**: AdamW
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+ - **Framework**: Ultralytics YOLOv12
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  ### Use Cases
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