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Update README with complete project documentation
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README.md
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# π Food Freshness Classification Using Deep Learning
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This project aims to classify food images as **Fresh** or **Not Fresh** using deep learning and transfer learning with PyTorch. We explore various CNN architectures and hybrid ensemble models to achieve state-of-the-art accuracy.
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- [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything)
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- [EfficientNet Implementation](https://github.com/lukemelas/EfficientNet-PyTorch)
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=======
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---
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title: Fish Freshness Classifier
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emoji: π’
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sdk: gradio
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sdk_version: 5.29.1
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app_file: app.py
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pinned: false
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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>>>>>>> space/main
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title: Fish Freshness Classifier
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emoji: π
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colorFrom: blue
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sdk: gradio
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sdk_version: 4.19.2
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app_file: fish_freshness_app.py
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pinned: false
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---
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# π Food Freshness Classification Using Deep Learning
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This project aims to classify food images as **Fresh** or **Not Fresh** using deep learning and transfer learning with PyTorch. We explore various CNN architectures and hybrid ensemble models to achieve state-of-the-art accuracy.
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- [Segment Anything Model (SAM)](https://github.com/facebookresearch/segment-anything)
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- [EfficientNet Implementation](https://github.com/lukemelas/EfficientNet-PyTorch)
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