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  2. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    A visual search engine is a search engine designed to search for information on the World Wide Web through a reverse image search. Information may consist of web pages, locations, other images and other types of documents. This type of search engines is mostly used to search on the mobile Internet through an image of an unknown object (unknown ...

  3. TinEye - Wikipedia

    en.wikipedia.org/wiki/TinEye

    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 ...

  4. Microsoft Bing - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Bing

    Microsoft Bing, commonly referred to as Bing, is a search engine owned and operated by Microsoft. The service traces its roots back to Microsoft's earlier search engines, including MSN Search, Windows Live Search, and Live Search. Bing offers a broad spectrum of search services, encompassing web, video, image, and map search products, all ...

  5. How to do a reverse image search - AOL

    www.aol.com/lifestyle/reverse-image-search...

    Method 1: Google Images From a Desktop Computer. If you use Google Chrome as your primary browser, the easiest way to complete a reverse image search is through Google Images. Just right-click the ...

  6. AOL Search FAQs

    help.aol.com/articles/aol-search-faqs

    View my plan. Call live aol support at. 1-800-358-4860. Get live expert help with your AOL needs—from email and passwords, technical questions, mobile email and more. AOL Search FAQs. AOL Search provides extensive search results along with convenient one-click access to relevant web content, including web results, images, videos, maps, and more.

  7. Image meta search - Wikipedia

    en.wikipedia.org/wiki/Image_meta_search

    Image meta search (or image search engine) is a type of search engine specialised on finding pictures, images, animations etc. Like the text search, image search is an information retrieval system designed to help to find information on the Internet and it allows the user to look for images etc. using keywords or search phrases and to receive a set of thumbnail images, sorted by relevancy.

  8. Google Images - Wikipedia

    en.wikipedia.org/wiki/Google_Images

    Google Images (previously Google Image Search) is a search engine owned by Google that allows users to search the World Wide Web for images. [1] It was introduced on July 12, 2001, due to a demand for pictures of the green Versace dress of Jennifer Lopez worn in February 2000.

  9. Image retrieval - Wikipedia

    en.wikipedia.org/wiki/Image_retrieval

    Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. The similarity used for search criteria could be meta tags, color distribution in images, region/shape attributes ...

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