Upload README.md with huggingface_hub

README.md

@@ -1,12 +1,30 @@
 ---
-title: Image Interface
-emoji: 👁
-colorFrom: indigo
-colorTo: yellow
+title: Stop Sign Classifier — Original vs. Preprocessed
+emoji: 🛑
+colorFrom: red
+colorTo: blue
 sdk: gradio
-sdk_version: 5.47.2
+sdk_version: "4.44.0"
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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