DeepFace is a deep learning facial recognition system created by a research group at Facebook. It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights 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% ± 0.25% on Labeled Faces in the Wild (LFW) data set where human beings have 97.53%.[3] This means that DeepFace is sometimes more successful than human beings. As a result of growing societal concerns Meta announced[4] that it plans to shut down Facebook facial recognition system, deleting the face scan data of more than one billion users.[5] This change will represent one of the largest shifts in facial recognition usage in the technology's history. Facebook planned to delete by December 2021 more than one billion facial recognition templates, which are digital scans of facial features. However, it did not plan to eliminate DeepFace which is the software that powers the facial recognition system. The company has also not ruled out incorporating facial recognition technology into future products, according to Meta spokesperson.[5]
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TechnologyReview2014was invoked but never defined (see the help page). - ^ Cite error: The named reference
CBS2014was invoked but never defined (see the help page). - ^ "DeepFace: Closing the Gap to Human-Level Performance in Face Verification". Facebook Research. Retrieved 2019-07-25.
- ^ Metz, Rachel (2 November 2021). "Facebook is shutting down its facial recognition software". CNN. Retrieved 2021-11-05.
- ^ a b Hill, Kashmir; Mac, Ryan (2021-11-02). "Facebook, Citing Societal Concerns, Plans to Shut Down Facial Recognition System". The New York Times. ISSN 0362-4331. Retrieved 2021-11-05.
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