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A newer version of the Gradio SDK is available:
6.3.0
metadata
title: Stop Sign Classifier — Original vs. Preprocessed
emoji: 🛑
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
Stop Sign? — Image Classifier (Classmate Model)
This Space demonstrates a classmate’s AutoGluon MultiModal image model that predicts whether a stop sign is present in an image.
- Model (classmate’s): samder03/2025-24679-image-autogluon-predictor
- Dataset (source/docs): https://huggingface.co/datasets/ecopus/sign_identification
What you can do here
- Upload a PNG/JPG (or use your webcam).
- See the original image next to the preprocessed image the model actually sees (resize + optional center-crop).
- Adjust inference parameters: resize (shorter side), center-crop on/off, crop size, and Top-K classes.
- View ranked Top-K class probabilities.
Validation & Error Handling
- File type is constrained by the Image widget (PNG/JPG; webcam allowed).
- Very large images are rejected with a friendly message (pixel-count check).
Notes
Educational demo; not for safety-critical use. Outputs depend on dataset/model behavior. The interface and upload code was created with the assistance of GenAI