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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.
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.
Nitro PDF Reader: Extracts Images in original resolution. PDF-XChange: PDF Tools and PDF-XChange print driver allow conversion from many formats to PDF. A "lite" version of the print driver is free for non-commercial (home and academic) but places a watermark on documents; Qiqqa: Converts Microsoft Word document and Web Pages to PDF.
Infobox templates should implement the InfoboxImage module to help with formatting of images so simply supplying the file name will work. For example, to use File:Image PlaceHolder.png, you can simply use |image=Image PlaceHolder.png. Captions should be specified with the |caption= option. Every infobox is different and the documentation for ...
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.
The CLIP models released by OpenAI were trained on a dataset called "WebImageText" (WIT) containing 400 million pairs of images and their corresponding captions scraped from the internet. The total number of words in this dataset is similar in scale to the WebText dataset used for training GPT-2, which contains about 40 gigabytes of text data. [1]
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 ...
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.