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Overview
CompreFace is a face detection and recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.
Our approach to face detection and recognition is based on FaceNet and InsightFace libraries that use deep neural networks. CompreFace provides a convenient REST API for training algorithms to detect and recognize faces from your collection of images (aka Face Collection). The solution also features a role management system that allows you to easily control who has access to your Face Collection. ....

United States , Christian Szegedy , Florian Schroff , Sergey Ioffe , Uricomponent John , Dmitry Kalenichenko , Zhanpeng Zhang , Zhifeng Li , Vincent Vanhoucke , Convolutional Neural Networks Kaipeng Zhang , Face Collection , Face Collections List , All Saved , Call Examples , Face Collections , Compreface Works Under , Unified Embedding , Face Recognition , Clustering Florian Schroff , James Philbin , Face Detection , Residual Connections , Learning Christian Szegedy , Alex Alemi , Contributor License Agreement , ஒன்றுபட்டது மாநிலங்களில் ,