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---
title: Classify 2
emoji: π
colorFrom: pink
colorTo: green
sdk: gradio
sdk_version: 5.45.0
app_file: app.py
pinned: false
license: mit
---
# πΆπ± Image Classifier β Multi-Model
Try 3 backbones (ViT / ResNet / EfficientNet) on any image. We show **top-5 predictions** and **latency** to highlight accuracy vs speed trade-offs.
## Quickstart
- Upload an image
- Pick a model in the dropdown
- Click **Predict**
## Why this matters
Different backbones behave differently. This demo makes those trade-offs visible to judges/users in one place.
## Roadmap
- Eval notebook β Confusion Matrix + Accuracy + ROC (binary subsets)
- Auto-publish plots to this README
- n8n workflow to re-run eval on new models and notify with results
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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