Computer Vision Projects

Welcome to the Computer Vision Projects repository! This collection showcases various computer vision applications, with a focus on face detection and lane detection.

Overview

This repository contains projects that leverage computer vision techniques to solve real-world problems. Our primary projects include:

• Face Detection: Implementing algorithms to accurately detect human faces in images and videos.
• Lane Detection: Utilizing image processing to identify and track lane markers on roads for autonomous driving applications.

Projects

Face Detection

Our face detection project aims to accurately identify and locate human faces in various image and video contexts. Key features include:

• Robust Detection: Handles different lighting conditions and facial orientations.
• Real-Time Processing: Capable of detecting faces in real-time video streams.
• Multiple Frameworks: Implemented using popular libraries such as OpenCV and dlib.

Lane Detection

The lane detection project focuses on identifying road lanes to assist with autonomous driving technologies. Key features include:

• Edge Detection: Uses advanced algorithms to highlight lane markers.
• Perspective Transformation: Applies geometric transformations to better visualize lanes.
• Video Analysis: Processes video feeds to continuously track lane positions.

Getting Started

To get started with these projects, clone the repository and follow the setup instructions in the respective project directories. You'll need Python and several libraries, which can be installed via pip.

git clone https://github.com/yourusername/computer-vision-projects.git
cd computer-vision-projects
pip install -r requirements.txt

Each project has its own directory with detailed instructions and example data to help you get up and running quickly.

Contributing

We welcome contributions! If you have suggestions for improvements or new features, please open an issue or submit a pull request. Be sure to follow our contribution guidelines outlined in CONTRIBUTING.md.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

If you have any questions or need further assistance, feel free to reach out via the issues section or contact me directly at your.email@example.com.

Thank you for exploring our computer vision projects! We hope these tools and resources prove valuable in your own projects and research.