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  2. 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.

  3. How to do a reverse image search - AOL

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

    Alternately, the website reverse.photos has a simple interface for uploading photos that automatically passes your search through Google’s reverse image search. Method 3: Bing Images. Mobile ...

  4. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  5. 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 ...

  6. Google Images - Wikipedia

    en.wikipedia.org/wiki/Google_Images

    Google Images (previously Google Image Search) is a search engine owned by Gsuite 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.

  7. Image retrieval - Wikipedia

    en.wikipedia.org/wiki/Image_retrieval

    An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words.

  8. Content-based image retrieval - Wikipedia

    en.wikipedia.org/wiki/Content-based_image_retrieval

    General scheme of content-based image retrieval. Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).

  9. 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.