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  2. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    Lens can also use images to identify text and can find results from Google Search or translate the text with Google Translate in augmented reality. [9] Lens is also integrated with the Google Photos and Google Assistant apps. [5] The service originally launched as Google Goggles, a previous app that functioned similarly but with less capability.

  3. File:Google Lens Icon.svg - Wikipedia

    en.wikipedia.org/wiki/File:Google_Lens_Icon.svg

    The following other wikis use this file: Usage on ar.wikipedia.org عدسة جوجل; Usage on bn.wikipedia.org গুগল লেন্স; Usage on ca.wikipedia.org

  4. File:Google Photos icon (2015-2020).svg - Wikipedia

    en.wikipedia.org/wiki/File:Google_Photos_icon.svg

    Although it is free of copyright restrictions, this image may still be subject to other restrictions. See WP:PD § Fonts and typefaces or Template talk:PD-textlogo for more information. This work includes material that may be protected as a trademark in some jurisdictions.

  5. Google Photos - Wikipedia

    en.wikipedia.org/wiki/Google_Photos

    Google Photos is a photo sharing and storage service developed by Google.It was announced in May 2015 and spun off from Google+, the company's former social network.. Google Photos shares the 15 gigabytes of free storage space with other Google services, such as Google Drive and Gmail.

  6. 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]

  7. 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.

  8. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace systems can identify faces with 97% accuracy, almost the same accuracy as a human in the same position. Facebook's facial recognition is more effective than the FBI's technology, which has 85% accuracy. [9] Google's technology, FaceNet is more successful than DeepFace using the same data sets. FaceNet set a record for accuracy, 99.63%.

  9. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    An image search engine is a search engine that is designed to find an image. The search can be based on keywords, a picture, or a web link to a picture. The results depend on the search criterion, such as metadata, distribution of color, shape, etc., and the search technique which the browser uses.