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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.
The advantages of automatic image annotation versus content-based image retrieval (CBIR) are that queries can be more naturally specified by the user. [2] At present, Content-Based Image Retrieval (CBIR) generally requires users to search by image concepts such as color and texture or by finding example queries. However, certain image features ...
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. [1]
This brings up the gallery editor, with the full list of images included in the gallery. The gallery editor has two tabs, one to add images and their captions, the other controls display options. The order of images can be rearranged by dragging the images on the left, and can be added using the "Add new image" button at the bottom of the list.
fully cross-linked project-wide, including all hierarchy and dependency graphs, metrics tables, source code snippets, and source files full semantic analysis of source code, including parameter types, conditional compilation directives, macro expansions Javadoc: JSDoc: Yes JsDoc Toolkit: Yes mkd: Customisable for all type of comments 'as-is' in ...
The empty string, if there is an explicitly requested Caption and the image type has a visible caption. The image file name if there is no explicitly requested Alt or Caption. This is never a satisfactory option. It is possible to specify the link title text only for images with no visible caption (as described above).
Photo captions, also known as cutlines, are a few lines of text used to explain and elaborate on published photographs. In some cases captions and cutlines are distinguished, where the caption is a short (usually one-line) title/explanation for the photo, while the cutline is a longer, prose block under the caption, generally describing the ...
Further, one can take a list of caption-image pairs, convert the images into strings of symbols, and train a standard GPT-style transformer. Then at test time, one can just give an image caption, and have it autoregressively generate the image. This is the structure of Google Parti. [33]