The MediaPipe Face Detection model is a high-performance, real-time face detection solution that uses machine learning to identify faces in images and video streams. It is optimized for mobile and embedded platforms, offering fast and accurate face detection while maintaining a small memory footprint. This model supports multiple face detections and is highly efficient, making it suitable for a variety of applications such as augmented reality, user authentication, and facial expression analysis.
Features
- Real-time face detection optimized for mobile and embedded devices.
- Supports multiple face detection in a single frame.
- Efficient with minimal memory and computational requirements.
- High accuracy in detecting faces in various conditions.
- Suitable for use in applications like augmented reality and user authentication.
- Built using MediaPipe for seamless integration with various platforms.
- Works with both images and video streams.
- Fast and low-latency processing for real-time use cases.
- Pre-trained model, ready for easy deployment without additional training.
License
Apache License V2.0Follow MediaPipe Face Detection
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