Find and highlight faces in images
Gaze detection using Moondream
Turn images into detailed face masks
Identify real or fake faces in images
Upload an image to segment the face
Register, recognize, and delete users using face and voice
Replace faces in videos
Upload an image to identify ages, emotions, and genders
Face Recognition
Upload and search for faces in a database
Swap faces in images
Analyze face image to predict attractiveness, gender, glasses, and facial hair
happy or some other emotion - facial expression
Mediapipe Face Detection is a cutting-edge, cross-platform framework developed by Google that enables face detection in images and video streams. It is designed to identify and highlight human faces within visual data, providing precise facial landmarks and bounding boxes for further analysis or processing.
What platforms does MediaPipe Face Detection support?
MediaPipe Face Detection supports Android, iOS, desktop (Windows, macOS, Linux), and web platforms, making it versatile for various applications.
Can MediaPipe Face Detection track faces in video streams?
Yes, MediaPipe Face Detection can process video streams in real-time, enabling face tracking and detection across frames.
How accurate is MediaPipe Face Detection compared to other tools?
MediaPipe Face Detection is highly accurate and robust, especially in challenging conditions. Its performance is comparable to commercial-grade face detection APIs, making it a reliable choice for developers.