Fix: dataset ref 0xgr3y, add GitHub link, update Files table
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README.md
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library_name: keras
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language: en
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datasets:
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widget:
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- structure:
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src: https://cdn-uploads.huggingface.co/production/uploads/66cdac913f233bf2c7b4f590/HzXxNze2jmCkV5KPY_fpQ.png
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| `best_phase2_swa.keras` | Best model — SWA averaged weights (val_acc=95.93%) |
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| `best_phase2.keras` | Phase 2 checkpoint (val_acc=93.35%) |
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| `config.json` | Full model configuration and evaluation metrics |
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| `label_mapping.json` | Class name <-> ID mapping |
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| `preprocessor_config.json` | Input preprocessing specification |
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print(f"Predicted: {LABELS[np.argmax(preds)]} ({np.max(preds)*100:.1f}%)")
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```
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## Intended Use
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- Architectural style classification from building photographs
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library_name: keras
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language: en
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datasets:
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- 0xgr3y/arch-building-dataset
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widget:
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- structure:
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src: https://cdn-uploads.huggingface.co/production/uploads/66cdac913f233bf2c7b4f590/HzXxNze2jmCkV5KPY_fpQ.png
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|------|-------------|
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| `best_phase2_swa.keras` | Best model — SWA averaged weights (val_acc=95.93%) |
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| `best_phase2.keras` | Phase 2 checkpoint (val_acc=93.35%) |
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| `saved_model/` | TensorFlow SavedModel format (portable, for TF Serving) |
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| `tflite/model.tflite` | TensorFlow Lite model (mobile/embedded) |
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| `tflite/label.txt` | Class label names for TF-Lite |
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| `tfjs_model/` | TensorFlow.js model (browser) |
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| `config.json` | Full model configuration and evaluation metrics |
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| `label_mapping.json` | Class name <-> ID mapping |
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| `preprocessor_config.json` | Input preprocessing specification |
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print(f"Predicted: {LABELS[np.argmax(preds)]} ({np.max(preds)*100:.1f}%)")
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```
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## Links
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- **Gradio Demo:** [arch-building-classifier Space](https://huggingface.co/spaces/0xgr3y/arch-building-classifier)
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- **Dataset:** [0xgr3y/arch-building-dataset](https://huggingface.co/datasets/0xgr3y/arch-building-dataset)
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- **GitHub:** [arcxteam/arch-building-classifier](https://github.com/arcxteam/arch-building-classifier)
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## Intended Use
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- Architectural style classification from building photographs
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