{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/openface-a-general-purpose-face-recognition","title":"OpenFace: A general-purpose face recognition library with mobile applications","arxiv_id":null,"date":"2016-01-01","proceeding":null,"authors":["Brandon Amos","Bartosz Ludwiczuk","Mahadev Satyanarayanan"],"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.","url_abs":"http://reports-archive.adm.cs.cmu.edu/anon/anon/2016/CMU-CS-16-118.pdf","url_pdf":"http://reports-archive.adm.cs.cmu.edu/anon/anon/2016/CMU-CS-16-118.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"openface-a-general-purpose-face-recognition","repo_url":"https://github.com/cmusatyalab/openface","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"torch","reach":null},{"paper_slug":"openface-a-general-purpose-face-recognition","repo_url":"https://github.com/Recognito-Vision/Android-FaceRecognition-FaceLivenessDetection","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"openface-a-general-purpose-face-recognition","repo_url":"https://github.com/serengil/deepface","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"face-recognition","task_name":"Face Recognition"},{"task_slug":"face-verification","task_name":"Face Verification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/face-verification-on-labeled-faces-in-the","task":"Face Verification","dataset":"Labeled Faces in the Wild","model":"OpenFace","rank_in_archive_order":7,"of":7,"metrics":{"Accuracy":"92.92%"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}