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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, and was trained on four million images uploaded by Facebook users.[1][2] The system is said to be 97% accurate, compared to 85% for the FBI's Next Generation Identification system.[3] One of the creators of the software, Yaniv Taigman, came to Facebook via their 2007 acquisition of[4]

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.[5]

Academic analysis[edit]

The software was the subject of graduate-level artificial intelligence (AI) coursework in 2015.[6]


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.[7]

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.[8] 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.[9] 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.[9] Slate said the lack of publicity from Facebook was "probably because it's wary of another round of 'creepy' headlines".[10]

See also[edit]


Further reading[edit]