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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.
Automatic cross-referencing (including between projects), Index; Table of Contents, Syntax highlighting with Pygments custom objects (such as functions and classes) Visual Expert: documentation content and styles customizable Class inheritance, call trees, dependencies (impact analysis)
If automatic captions are available for the language, they will automatically be published on the video. [1] [2] Automatic captions are generally less accurate than human-typed captions. [3] Automatic captions regularly fail to distinguish between similar-sounding words, such as to, two, and too.
SEE ALSO: TikTok will no longer censor 'Asian women' in its automatic captions Instagram currently offers four different caption font styles to choose from — which are essentially the same as ...
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Logo caption: logo_caption: A caption for the logo. Example Logo used since 2012: String: optional: Image: image: An image, probably of the front page. Example The-Washington-Post-10-June-2020.jpg: File: optional: Image border: image_border: If 'yes', adds a slight border around the image. Auto value yes: Boolean: optional: Image alt: image_alt ...
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