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Docker clients connect to registries to download ("pull") images for use or upload ("push") images that they have built. Registries can be public or private. The main public registry is Docker Hub. Docker Hub is the default registry where Docker looks for images. [22] [26] Docker registries also allow the creation of notifications based on ...
Docker, Inc. is an American technology company that develops productivity tools built around Docker, which automates the deployment of code inside software containers. [1] [2] Major commercial products of the company are Docker Hub, a central repository of containers, and Docker Desktop, a GUI application for Windows and Mac to manage containers.
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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.
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 ...
A "Hello, World!" program is usually a simple computer program that emits (or displays) to the screen (often the console ) a message similar to "Hello, World!". A small piece of code in most general-purpose programming languages , this program is used to illustrate a language's basic syntax .
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.
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).