This repository contains code and resources for detecting and recognizing traffic signs in images using computer vision techniques.
Traffic sign detection plays a crucial role in enhancing road safety and autonomous driving systems. This project aims to provide a practical implementation of traffic sign detection using Python and popular computer vision libraries.
- Utilizes deep learning models for object detection and classification of traffic signs.
- Preprocessing techniques to enhance image quality and isolate signs.
- Provides an easy-to-use interface for testing the model on custom images or video streams.
- Clone the repository.
- Install the required dependencies using
pip install -r requirements.txt. - Download the pre-trained model weights (if applicable).
- Run the detection script and test on images or videos.
Contributions are welcome! If you have suggestions, bug reports, or feature requests, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.