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EntityQ20714273· pop 5· linked from 14 articles

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. The Facebook Research team has stated that the DeepFace method reaches an accuracy of 97.35% ± 0.25% on the Labeled Faces in the Wild (LFW) data set where human beings have 97.53%. This means that DeepFace is sometimes more successful than human beings.

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Vinony's link graph records 14 inbound references to DeepFace, and connects out to WhatsApp, Meta and European Union.

Vinony files it under 2014 in computing, Facebook software and Facial recognition software.

Vinony links it to 5 Wikipedia language editions.

Wikidata facts

Main subject
face perception
Developer
Meta
Show 3 more facts
programmed in
Python
copyright license
MIT License

via Wikidata · CC0

~12 min read

Encyclopedic overview

21 sections
Contents
  • Commercial rollout
  • Origin
  • European Union
  • Accuracy
  • Applications
  • Architecture
  • 2D alignment
  • 3D alignment
  • Frontalization
  • Neural network
  • Reactions
  • Industry
  • Media
  • Users
  • Privacy concerns
  • BIPA lawsuit
  • Ten-year challenge
  • Racism in facial identification technology
  • See also
  • References
  • Further reading

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. The Facebook Research team has stated that the DeepFace method reaches an accuracy of 97.35% ± 0.25% on the Labeled Faces in the Wild (LFW) data set where human beings have 97.53%. This means that DeepFace is sometimes more successful than human beings.

As a result of growing societal concerns Meta announced that it plans to shut down Facebook's facial recognition system, deleting the face scan data of more than one billion users. 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.

Excerpted from Wikipedia’s “DeepFace” article, available under the CC BY-SA 4.0 licence.

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