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  2. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook. It identifies human faces in digital images. 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.

  3. Privacy concerns with Facebook - Wikipedia

    en.wikipedia.org/wiki/Privacy_concerns_with_Facebook

    Facebook enabled an automatic facial recognition feature in June 2011, called "Tag Suggestions", a product of a research project named "DeepFace". [36] The feature compares newly uploaded photographs to those of the uploader's Facebook friends, to suggest photo tags.

  4. FaceNet - Wikipedia

    en.wikipedia.org/wiki/FaceNet

    FaceNet is a facial recognition system developed by Florian Schroff, Dmitry Kalenichenko and James Philbina, a group of researchers affiliated with Google.The system was first presented at the 2015 IEEE Conference on Computer Vision and Pattern Recognition. [1]

  5. Face detection - Wikipedia

    en.wikipedia.org/wiki/Face_detection

    Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. [1] Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.

  6. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    Facial recognition software at a US airport Automatic ticket gate with face recognition system in Osaka Metro Morinomiya Station. A facial recognition system [1] is a technology potentially capable of matching a human face from a digital image or a video frame against a database of faces.

  7. Deepfake video app Reface is just getting started on ... - AOL

    www.aol.com/news/deepfake-video-app-reface-just...

    Deepface technology has of course been around for a number of years, at this point, but the Reface team's focus is on making the tech accessible and easy to use -- serving it up as a push-button ...

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