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  2. Reverse image search - Wikipedia

    en.wikipedia.org/wiki/Reverse_image_search

    Reverse image search may be used to: Locate the source of an image. Find higher resolution versions. Discover webpages where the image appears. Find the content creator. Get information about an image. Find misleading information online. Algorithms. Commonly used reverse image search algorithms include:

  3. 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. [2] [3] [4] In 2011, reverse image search functionality was added.

  4. How To Do a Reverse Image Search - AOL

    www.aol.com/news/reverse-image-search-155900359.html

    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 ...

  5. TinEye - Wikipedia

    en.wikipedia.org/wiki/TinEye

    Current status. Active. 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]

  6. AOL

    search.aol.com

    AOL. 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.

  7. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    The main purpose of Google Search is to search for text in publicly accessible documents offered by web servers, as opposed to other data, such as images or data contained in databases. It was originally developed in 1996 by Larry Page , Sergey Brin , and Scott Hassan .

  8. Image retrieval - Wikipedia

    en.wikipedia.org/wiki/Image_retrieval

    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 ...

  9. Wikipedia:Finding images tutorial - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Finding_images...

    This Finding images tutorial offers a step by step guide to find images that can be licensed as public domain or under the Creative Commons Attribution Share-Alike License for Wikipedia. The most important thing while looking for images is to. Be creative with your search!

  10. Image meta search - Wikipedia

    en.wikipedia.org/wiki/Image_meta_search

    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.

  11. Search engine - Wikipedia

    en.wikipedia.org/wiki/Search_engine

    A search engine is a software system that provides hyperlinks to web pages and other relevant information on the Web in response to a user's query. The user inputs a query within a web browser or a mobile app, and the search results are often a list of hyperlinks, accompanied by textual summaries and images.