cmusatyalab/openface
Face recognition with deep neural networks.
This project helps identify or verify people by analyzing their faces in images or live video. You provide photos of individuals, and it tells you who is in new photos or if two photos show the same person. It's used by researchers, security professionals, or anyone needing to automate person identification from visual data.
15,407 stars. No commits in the last 6 months.
Use this if you need to build systems for automatically recognizing or verifying individuals from facial images.
Not ideal if you're looking for a simple, pre-built application that requires no technical setup or coding.
Stars
15,407
Forks
3,574
Language
Lua
License
Apache-2.0
Category
Last pushed
Oct 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cmusatyalab/openface"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
serengil/deepface
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race)...
ishandutta0098/mukh
A comprehensive face analysis library that provides unified APIs for various face-related tasks
akshaybahadur21/Facial-Recognition-using-Facenet
A simple implementation of facial recognition using facenets for humans 🧔 🔍
tomas-gajarsky/facetorch
Python library for analysing faces using PyTorch
Astrotomic/php-deepface
A PHP adapter for the python deepface framework.