- This repository is dedicated to my journey of building a Face Detection App using machine learning.
- I'm excited to share my progress and discoveries as I explore the fascinating world of computer vision.
- Pushing Boundaries: It's not just about recognizing faces; it's about pushing the boundaries of what's possible with ML.
- Innovative Features: Incorporating innovative features like adding emojis and integrating trending tags to create engaging user experiences.
- Deep Dive into ML: Delving into the complexities of face detection and computer vision with each commit.
- Hands-on Learning: Honing skills, uncovering insights, and experimenting with novel techniques.
- Collaboration: I invite you to collaborate, share insights, and contribute to this exciting project.
- Community Engagement: Let's engage with the community, exchange ideas, and inspire each other in the realm of machine learning.
- Dive into the code, explore the possibilities, and embark on this exhilarating journey together!!
Face-Detection.webm
Follow these steps to set up the project locally:
https://github.com/Vaibhav-kesarwani/Face-detection
cd Face-detection
pip install -r
python FaceDetection.py
Once the app is running, you can interact with it to detect faces in images or videos. Explore the various features and functionalities to experience the full potential of the Face Detection App!
Contributions are welcome! If you'd like to contribute to this project, please follow these steps:
- Fork the repository
- Create a new branch (git checkout -b feature)
- Make your changes
- Commit your changes (git commit -am 'Add new feature')
- Push to the branch (git push origin feature)
- Create a new Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
If you have any questions or suggestions, feel free to reach out to me at PORTFOLIO.