OpenFace: A general-purpose face recognition library with mobile applications

Code

• github.com/cmusatyalab/openface
  OfficialIn papertorch★ 0
• github.com/serengil/deepface
  tf★ 22,440
• github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection
  none★ 110

Abstract

Cameras are becoming ubiquitous in the Internet of Things (IoT) and can use face recognition technology to improve context. There is a large accuracy gap between today’s publicly available face recognition systems and the state-of-the-art private face recognition systems. This paper presents our OpenFace face recognition library that bridges this accuracy gap. We show that OpenFace provides near-human accuracy on the LFW benchmark and present a new classification benchmark for mobile scenarios. This paper is intended for non-experts interested in using OpenFace and provides a light introduction to the deep neural network techniques we use.

Tasks

Reproductions