Finding Tiny Faces in PyTorch

Serverless web app for streaming browser webcam feed to Amazon Kinesis Video Streams and Rekognition Video. See our post on the AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/building-automatic-analysis-of-body-language-to-gauge-attention-and-engagement-using-amazon-kinesis-video-streams-and-amazon-ai-services

A demo app for various Firebase ML-Kit vision functionalities 🕵️‍♀️

Server less face recognition app built with face-api.js and React

The purpose of this Android app is to utilize the Microsoft Face API to not only detect individual faces in an image, but also for each face provide information such as emotions, the estimated age, gender, and more. Possible applications for this app are at amusement parks, classrooms, and residential homes.

It is a face recognition system using mtcnn and arcface in pytorch

Repositório do projeto apresentado no vídeo "Live de Python e OpenCV - Detecção e Reconhecimento de Faces" do canal Universo Discreto

Offloading matrix operations, face detection, and face recognition applications from a PandaBoard device (i.e. client device) to a server (i.e. server desktop computer)

Python kullanarak OpenCV ile yüz ve göz tanıma işlemlerini yapma

An Open Source VTuber Software for Awesome Streamer

FACE DETECTION AND ATTENDENC-- Face detection is a computer vision problem that involves finding faces in photos. It is a trivial problem for humans to solve and has been solved reasonably well by classical feature-based techniques, such as the cascade classifier

Facial Keypoint Detection and Real-time Filtering

Face/Expression/Age detection through webcam in browser.

Face Detection Application written in C++ using OpenCV

A simple real-time face detection with face-api.js

Face recognition using PHP

The Facial Recognition and Detection Application provides both image and live camera facial recognition and detection. In image mode, it identifies faces, eyes, and smiles within loaded images. In live camera mode, it continuously captures real-time video and performs facial recognition, eye detection, and smile detection,

Website for face detection from image (using HOG + SVM framework)

Detect faces on Steam store/library banners.

Face recognition app, where you will insert your photo and face will be detected.