BlazeFace
A lightweight face detection model introduced by Google, optimized for mobile devices and real-time scenarios. It offers high inference speed and low resource consumption, and is integrated into the MediaPipe framework.
Core Facts
Timeline (last 90 days)
Photo Scrubber's face detection relies on the npm package @mediapipe/tasks-vision, combined with the BlazeFace face detection model to perform recognition.
BlazeFace is a lightweight face detection model optimized for mobile and real-time scenarios, offering fast speed and low resource consumption.
All Facts (3)
MediaPipe is a cross-platform machine learning framework developed by Google; its face detection module is based on the BlazeFace lightweight neural network architecture and can output 468 facial keypoint coordinates.
70%UnverifiedPhoto Scrubber's face detection relies on the npm package @mediapipe/tasks-vision, combined with the BlazeFace face detection model to perform recognition.
50%UnverifiedBlazeFace is a lightweight face detection model optimized for mobile and real-time scenarios, offering fast speed and low resource consumption.
50%