---
title: Traffic Sign Detection
emoji: 🔥
colorFrom: indigo
colorTo: gray
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
---

# Traffic Sign Detection

This project features a YOLOv8-based model for detecting and classifying traffic signs in images, integrated with a Gradio interface for interactive use. Upload an image to view detected traffic signs with bounding boxes and labels, powered by a model trained on the German Traffic Sign Recognition Benchmark (GTSRB) dataset.

## Usage

1. **Upload an Image**: Use the Gradio interface to upload an image containing traffic signs.
2. **View Results**: The app displays the image with bounding boxes and labels for detected traffic signs.
3. **Confidence Threshold**: Detections are filtered at a confidence score of 0.5 (adjustable in `app.py` if needed).

## Model Details

- **Architecture**: YOLOv8 nano
- **Dataset**: GTSRB, 43 classes, ~39,209 training images
- **Training**: 50 epochs, 640x640 image size, 80% training / 20% validation split

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference