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## ⚙️ Model Architecture
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<p align="center">
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<img src="https://github.com/Salaar-Saaiem/Garbage-Classification-using-ML/blob/main/Assets/Architecture%20Diagram.png?raw=true" alt="Model Architecture" width="700"/>
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<img src="https://github.com/Salaar-Saaiem/Garbage-Classification-using-ML/blob/main/Assets/Architecture Diagram.png" alt="Accuracy & Loss" width="700"/>
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</p>
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The visual above represents the complete training and evaluation pipeline. It uses EfficientNetV2B2 as a feature extractor, followed by custom CNN layers. The model is initially trained with a frozen base, then fine-tuned, and finally evaluated on multiple metrics like accuracy, loss curves, and confusion matrix.

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