DeepFace

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DeepFace is a deep learning facial recognition system created by a research group at Facebook. It identifies human faces in digital images. It employs a nine-layer neural net with over 120 million connection weights, organized as a siamese network, and was trained on four million images uploaded by Facebook users.[1][2] The Facebook Research team has stated that the DeepFace method reaches an accuracy of 97.35%[3], compared to 85% for the FBI's Next Generation Identification system.[4] One of the creators of the software, Yaniv Taigman, came to Facebook via their 2007 acquisition of Face.com.[5]

Commercial rollout[edit]

Facebook started rolling out the technology to its users in early 2015, with the exception of users in the EU due to data privacy laws there.[6]

Academic analysis[edit]

The software was the subject of graduate-level artificial intelligence (AI) coursework in 2015.[7]

Reactions[edit]

AI researcher Ben Goertzel said Facebook had "pretty convincingly solved face recognition" with the project, but said it would be incorrect to conclude that deep learning is the entire solution to AI.[8]

A Huffington Post piece called the technology "creepy" and, citing data privacy concerns, noted that some European governments had already required Facebook to delete facial-recognition data.[9] According to Broadcasting & Cable, both Facebook and Google had been invited by the Center for Digital Democracy to attend a 2014 National Telecommunications and Information Administration "stakeholder meeting" to help develop a consumer privacy Bill of Rights, but they both declined.[10] Broadcasting & Cable also noted that Facebook had not released any press announcements concerning DeepFace, although their research paper had been published earlier in the month.[10] Slate said the lack of publicity from Facebook was "probably because it's wary of another round of 'creepy' headlines".[11]

Implementations[edit]

See also[edit]

References[edit]

  1. ^ "Facebook creates software that matches faces almost as well as you do", Technology Review, Massachusetts Institute of Technology, March 17, 2014
  2. ^ Facebook's DeepFace shows serious facial recognition skills, CBS News, March 19, 2014
  3. ^ "DeepFace: Closing the Gap to Human-Level Performance in Face Verification". Facebook Research. Retrieved 2019-07-25.
  4. ^ Russell Brandom (July 7, 2014), "Why Facebook is beating the FBI at facial recognition", The Verge
  5. ^ Amit Chowdhry (March 18, 2014), "Facebook's DeepFace Software Can Match Faces With 97.25% Accuracy", Forbes
  6. ^ Victoria Woolaston (9 February 2015), "Facebook can tag you in photos AUTOMATICALLY: Social network starts rolling out DeepFace recognition feature", Daily Mail
  7. ^ Richard Baraniuk (2015), ELEC 631 syllabus, Rice University
  8. ^ Ben Goertzel (March 22, 2014), "Lessons from Deep Mind & Vicarious", The Multiverse According to Ben (blog)
  9. ^ Dino Grandoni (March 18, 2014), "Facebook's New 'DeepFace' Program Is Just As Creepy As It Sounds", The Huffington Post
  10. ^ a b John Eggerton (March 24, 2014), CDD: Google, Facebook Decline to Present at Facial Recognition Meeting: Had been asked by nongovernmental groups for more info on technology
  11. ^ Will Oremus, "Facebook's New Face-Recognition Software Is Scary Good", Slate

Further reading[edit]