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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).
Git is free and open-source software shared under the GPL-2.0-only license. Git was originally created by Linus Torvalds for version control during the development of the Linux kernel. [14] The trademark "Git" is registered by the Software Freedom Conservancy, marking its official recognition and continued evolution in the open-source community.
GitLab Inc. is a company that operates and develops GitLab, an open-core DevOps software package that can develop, secure, and operate software. [9] GitLab includes a distributed version control system based on Git, [10] including features such as access control, [11] bug tracking, [12] software feature requests, task management, [13] and wikis [14] for every project, as well as snippets.
The Free Image Search Tool may be able to locate suitable images on other web sites. The Image Existence Checker shows articles in this list that have images. For more information, see Wikipedia:WikiProject Women .
GitHub (/ ˈ ɡ ɪ t h ʌ b /) is a proprietary developer platform that allows developers to create, store, manage, and share their code. It uses Git to provide distributed version control and GitHub itself provides access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project. [8]
International Center for Free and Opensource Software – founded 2011; an autonomous organization set up by the Government of Kerala, India for free and open source software. International Open Source Network (IOSN) – existed 2004–2006; promoted use of open-source software in Asia.
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 ...
Also, most images found on the web do not meet our non-free content policy, which states that a non-free image may be used only when it cannot be replaced. For example, there's no way that a logo of a political party or a screenshot of a video game can be replaced by a free image, but a photo of a living person or location can almost always be ...