Stop Sign Detection

Stop Sign Detection 🚦

What is this?

A computer vision demo that detects stop signs in images or live video using OpenCV and a Haar cascade (XML) classifier.

Files: Stop_sign_detection.py, stop_data.xml

How it works

• The Haar cascade is loaded and applied to frames from an image or camera feed.
• Detected regions are highlighted with bounding boxes.

How to run

1. Install dependencies: pip install opencv-python
2. Ensure stop_data.xml is present and run: python Stop_sign_detection.py

Summary

A compact, practical example to learn object detection with classical CV techniques (Haar cascades) and to explore OpenCV video/image processing.