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Update app.py
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app.py
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This model can classify **199 different bird species** using advanced deep learning techniques:
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### Model Details:
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- **Architecture**: Auto-detected EfficientNet (
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- **Training Strategy**: Progressive training with advanced augmentation
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- **Performance**: Optimized for accuracy and reliability
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- **Dataset**: CUB-200-2011 (
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### How to use:
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1. Upload a clear image of a bird
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This model can classify **199 different bird species** using advanced deep learning techniques:
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### Model Details:
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- **Architecture**: Auto-detected EfficientNet (B4) with enhanced regularization & fine-tuned with Swin Transformer (Emiel/cub-200-bird-classifier-swin)
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- **Training Strategy**: Progressive training with advanced augmentation
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- **Performance**: Optimized for accuracy and reliability
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- **Dataset**: CUB-200-2011 (200 bird species)
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### How to use:
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1. Upload a clear image of a bird
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