Identify and visualize face landmarks in images
Swap faces in images or videos
Classify faces as male or female in images
Gaze detection using Moondream
Classify facial attractiveness and explain predictions
FaceOnLive On-Premise Solution
Upload an image to segment the face
Detect if an image shows a live person
Mark faces in images and videos to show key landmarks
Find and highlight faces in images
Analyze if an image contains a deepfake face
extract 68 points landmark from mediapipe-468
Analyze face image to predict attractiveness, gender, glasses, and facial hair
Mediapipe Face Mesh is a machine learning framework developed by Google that allows users to identify and visualize face landmarks in images and video streams. It is part of the MediaPipe framework, which provides a cross-platform, customizable, and extensible way to build machine learning pipelines for various applications. The Face Mesh solution is particularly designed for facial feature detection, enabling applications such as facial analysis, AR effects, and more.
pip install mediapipe
What platforms does MediaPipe Face Mesh support?
Does MediaPipe Face Mesh require a GPU for processing?
How many facial landmarks does MediaPipe Face Mesh detect?