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A newer version of the Gradio SDK is available: 6.30.0
metadata
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