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  2. Google Lens - Wikipedia

    en.wikipedia.org/wiki/Google_Lens

    Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network. [2] First announced during Google I/O 2017, [ 3 ] it was first provided as a standalone app, later being integrated into Google Camera but was reportedly ...

  3. Google Photos - Wikipedia

    en.wikipedia.org/wiki/Google_Photos

    Google Photos is a photo sharing and ... service for its recognition technology, search, apps, and loading times. ... old memories with people identified in users ...

  4. PimEyes - Wikipedia

    en.wikipedia.org/wiki/PimEyes

    PimEyes is a facial recognition search website that allows users to identify all images on the internet of a person given a sample image. The website is owned by EMEARobotics, a corporation based in Dubai. The owner and CEO of EMEARobotics and PimEye is Giorgi Gobronidze, who is based in Tbilisi, Georgia. [1]

  5. Google Brain - Wikipedia

    en.wikipedia.org/wiki/Google_Brain

    The Google Brain projects' technology is currently used in various other Google products such as the Android Operating System's speech recognition system, photo search for Google Photos, smart reply in Gmail, and video recommendations in YouTube. [40] [41] [42]

  6. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    Reverse image search using Google Images. Reverse image search is a content-based image retrieval (CBIR) query technique that involves providing the CBIR system with a sample image that it will then base its search upon; in terms of information retrieval, the sample image is very useful. In particular, reverse image search is characterized by a ...

  7. 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]