Face Detection

Detect if web fonts are available

JavaScript API for face detection and face recognition in the browser with tensorflow.js

An interface package for Face Detector

This package adds a WebAssembly backend to TensorFlow.js. It currently supports the following models from our [models](https://github.com/tensorflow/tfjs-models) repo: - BlazeFace - BodyPix - CocoSSD - Face landmarks detection - HandPose - KNN classifier

Pretrained face landmarks detection model

Mediapipe Face Detection Solution

Pretrained face detection model

Pretrained face detection model in TensorFlow.js

Check if a Buffer/Uint8Array is WOFF

Check if a Buffer/Uint8Array is EOT

Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition

Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.

React hook to detect if web fonts are available 🪝

Scrypted Video Analysis Plugin. Installed alongside a detection service like OpenCV or TensorFlow.

Lets you use the power of Google Mobile Vision (https://developers.google.com/vision/face-detection-concepts) framework to detect faces on images.

FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS

MediaPipe face landmark detection neural network model for Unity Barracuda

MediaPipe face landmark detection neural network model for Unity Barracuda

MediaPipe BlazeFace face detection neural network model for Unity Barracuda

Fire. Base. Firebase!

Expo interface package for Face Detector

Detect if web fonts are available

Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API.

Official Node integration for Optidash - AI-powered image optimization and processing API. We will drastically speed-up your websites and save you money on bandwidth and storage.

Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.

Identity-Tech Web component is a javascript library to enable capturing of face and ID Cards. The library supports selfie and portrait capturing, ID Card scanning for OCR, and matching between face captured and face on the ID Card.

VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector

This package adds a GPU accelerated [WebGPU](https://www.w3.org/TR/webgpu/) backend to TensorFlow.js. It currently supports the following models: - BlazeFace - BodyPix - Face landmarks detection - HandPose - MobileNet - PoseDetection - Universal sentence

MediaPipe MoveNet multiple-pose detection in Unity Engine.

Fire. Base. Firebase!

Face detection React hook powered by @mediapipe/face_detection, @mediapipe/camera_utils, react-webcam

Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.

Real time face detection and tracking from camera video feed.

Pose detection with MediaPipe BlazePose.

react-native face detection using Google MLKit

Pose detection with MediaPipe BlazePose.

MediaPipe BlazeFace for face detection in Unity Engine.

Realtime 3D pose detection with MoveNet.

Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.

Realtime pose detection with MediaPipe MoveNet.

This library is built to provide a solution analysis of human face recognition.

Palm landmark prediction with MediaPipe Hands in Unity Engine.

Angular 6+ library integration for OpenCV.js

Realtime single-stage face detector in Unity Engine.

CenterFace anchor-free face detection in Unity Engine.

Ultra-high performance face detection in Unity Engine.

Ultra-light fast generic face detector.

Simple Node.js API for robust face detection and face recognition.

VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector

Detect Font using Javascript & @font-face.