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README.md
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license: mit
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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pinned: false
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license: mit
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---
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# 🐶🐱 Image Classifier – Multi-Model
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Try 3 backbones (ViT / ResNet / EfficientNet) on any image. We show **top-5 predictions** and **latency** to highlight accuracy vs speed trade-offs.
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## Quickstart
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- Upload an image
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- Pick a model in the dropdown
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- Click **Predict**
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## Why this matters (hackathon pitch)
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Different backbones behave differently. This demo makes those trade-offs visible to judges/users in one place.
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## Roadmap
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- Eval notebook → Confusion Matrix + Accuracy + ROC (binary subsets)
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- Auto-publish plots to this README
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- n8n workflow to re-run eval on new models and notify with results
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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