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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.
A template for adding a caption to a frameless image. Template parameters Parameter Description Type Status Image image 1 The image to use. The ''File:'' prefix is optional.
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.
This template can be used to tag image captions that need improvement, or images which need a caption. Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status missing missing If this parameter is passed and not empty, the text of the tag and hover text will change to indicate the image's caption is missing. Boolean ...
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.
The number of Americans applying for unemployment benefits fell to the lowest level in six months last week as layoffs remain at relatively healthy levels. The Labor Department reported Thursday ...
Here are 150 of the best one-word Instagram captions that will make all your posts look effortless. They're simple, but they're super cool and easy.
An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige", generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.