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In June 2014, TinEye claimed to have indexed more than five billion images for comparisons. [6] However, this is a relatively small proportion of the total number of images available on the World Wide Web. [7] As of March 2024, TinEye's search results claim to have over 70 billion images indexed for comparison. [8]
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.
Proxy gateway search links available Ahmia: Yes Yes AOL: Yes No Ask.com: Yes No Baidu: China Yes No Unknown Blackle: No No Brave Search: Yes Yes DuckDuckGo [8] USA No Verizon Internet Services Amazon EC2: Yes Yes No Ecosia: USA No Yes No Exalead: No No Fireball: Yes No Gigablast: USA Yes [9] Yes [9] No Google Search: USA Yes Google data ...
Cross-platform open-source desktop search engine. Unmaintained since 2011-06-02 [9]. LGPL v2 [10] Terrier Search Engine: Linux, Mac OS X, Unix: Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1 [11] Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 [12] Tropes Zoom: Windows: Semantic Search Engine (no ...
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.
Visual Image Retrieval and Localization: A visual search engine that, given a query image, retrieves photos depicting the same object or scene under varying viewpoint or lighting conditions. Using Flickr photos of urban scenes, it automatically estimates where a picture is taken, suggests tags, identifies known landmarks or points of interest ...
As the queries were attributed by AOL to particular user numerically identified accounts, an individual could be identified and matched to their account and search history. [1] The New York Times was able to locate an individual from the released and anonymized search records by cross referencing them with phonebook listings. [2]
Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available. This list focuses on general-purpose services; OpenDOAR can be used to find thousands of open-access repositories. The table is sorted by the number of works for which full-text is made available.