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Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel , CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
Manual image annotation is the process of manually defining regions in an image and creating a textual description of those regions. Such annotations can for instance be used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation of images.
Output of DenseCap "dense captioning" software, analysing a photograph of a man riding an elephant. Automatic image annotation (also known as automatic image tagging or linguistic indexing) is the process by which a computer system automatically assigns metadata in the form of captioning or keywords to a digital image.
After the image you selected is inserted into the page, another dialog will open. This dialog allows you to add and edit the caption of the image. The caption can contain formatting and links. The media dialog also allows you to add alternative text captions, to help users who use screen readers, or who have disabled image display.
Note: To achieve a plain image with a caption, one can use {{Plain image with caption}}. The caption is automatically added as the image's title and alt text, and any wiki markup used on it will be correctly displayed on the caption, but will be automatically stripped down from the alt and title text. See an example here.
Show a caption if specified. Float the image on the right unless overridden with the location attribute. With an operand, e.g. thumb=Example.png, the operand names an image that is used as the thumbnail, ignoring any size specification. frame Preserve the original image size, and put a box around the image. Show any caption below the image.
A template for adding a caption to a frameless image. Template parameters [Edit template data] Parameter Description Type Status Image image 1 The image to use. The ''File:'' prefix is optional. Default — String required Image caption and alt text caption 2 The caption to display under or above the image. Also sets the alt text. Default — String required Image width scaling factor upright ...
In April 2009 OpenImageIO was accepted into the Google Summer of Code program with four student slots. September 2009 marked the release of Cloudy with a Chance of Meatballs , the first full-length feature film in whose production OpenImageIO , alongside OpenShadingLanguage , has been used as the texturing engine.