Curated Open‑Source Face Recognition Projects Overview

OpenFace is a general‑purpose face recognition library with mobile support, currently holding 14,291 GitHub stars. It demonstrates a workflow on the LFW dataset using a single image of Sylvester Stallone. 项目地址：https://github.com/cmusatyalab/openface face_recognition provides a powerful yet simple Python API built on the C++ dlib library. It achieves up to 99.38% accuracy on LFW, supports command‑line tools, and can locate faces, extract landmarks, and compare faces across images.

项目地址：https://github.com/ageitgey/face_recognition

import face_recognition<br/>image = face_recognition.load_image_file("your_file.jpg")<br/>face_locations = face_recognition.face_locations(image)

InsightFace is a 2D & 3D deep face analysis toolbox based on PyTorch and MXNet. It implements state‑of‑the‑art face detection, alignment, and recognition algorithms and has earned 11,251 stars on GitHub. 项目地址：https://github.com/deepinsight/insightface RetinaFace represents a cutting‑edge multi‑task face detection method, while SCRFD offers high‑precision detection. Both are open‑source and widely used in research and production.

FaceNet (TensorFlow implementation) is a face recognition system capable of verifying identity, clustering faces, and measuring similarity, with 12,304 GitHub stars. 项目地址：https://github.com/davidsandberg/facenet Deepface is a lightweight Python framework for face verification and attribute analysis (age, gender, emotion, race). It integrates several top‑performing models such as VGG‑Face, FaceNet, OpenFace, ArcFace, and Dlib. 项目地址：https://github.com/serengil/deepface CompreFace is a free, open‑source face recognition service that provides REST APIs for face detection, verification, landmark detection, age and gender estimation, and can be deployed via Docker on CPU or GPU.

项目地址：https://github.com/exadel-inc/CompreFace