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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.
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] TinEye allows users to search not using keywords but with 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.
A reverse image search isn’t as complicated as it may seem. Here’s the sneaky way to find out where practically any picture came from.
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.
This is a list of publicly available content-based image retrieval (CBIR) engines. These image search engines look at the content (pixels) of images in order to return results that match a particular query.
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.
DuckDuckGo is an internet search engine that emphasizes protecting searchers' privacy and avoiding filter bubbles.