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| 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](https://huggingface.co/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 | |