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  2. TinEye - Wikipedia

    en.wikipedia.org/wiki/TinEye

    TinEye is a reverse image search engine developed and offered by Idée, Inc., a company based in Toronto, Ontario, Canada. It is the first image search engine on the web to use image identification technology rather than keywords, metadata or watermarks. [1] [non-primary source needed] TinEye allows users to search not using keywords but with ...

  3. 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.

  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. ChaCha (search engine) - Wikipedia

    en.wikipedia.org/wiki/ChaCha_(search_engine)

    ChaCha was founded with the intention to offer human-guided search from within a web browser and for the search engine to learn from the results provided by their freelancers. [17] The system offered a chat on the left side of the page where users could chat with the guides and conclude their search. [ 17 ]

  6. PhotoDNA - Wikipedia

    en.wikipedia.org/wiki/PhotoDNA

    Microsoft originally used PhotoDNA on its own services including Bing and OneDrive. [31] As of 2022, PhotoDNA was widely used by online service providers for their content moderation efforts [10] [32] [33] including Google's Gmail, Twitter, [34] Facebook, [35] Adobe Systems, [36] Reddit, [37] and Discord.

  7. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    The FBI uses the photos as an investigative tool, not for positive identification. [93] As of 2016, facial recognition was being used to identify people in photos taken by police in San Diego and Los Angeles (not on real-time video, and only against booking photos) [94] and use was planned in West Virginia and Dallas. [95]

  8. Amazon Photos is the secret to printing your pics quickly and ...

    www.aol.com/lifestyle/amazon-photos-secret...

    Amazon certainly makes getting all sorts of goodies to us fast and easy, and it doesn't stop at photos. If you don't know about Amazon Photos yet, your picture printing projects are about to get a ...

  9. Macroglossa Visual Search - Wikipedia

    en.wikipedia.org/wiki/Macroglossa_Visual_Search

    Macroglossa was a visual search engine based on the comparison of images, [1] [2] coming from an Italian Group. The development of the project began in 2009. In April 2010 is released the first public alpha. [3] Users can upload photos or images that they are not sure what they are to determine what the images contain.