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LAION (acronym for Large-scale Artificial Intelligence Open Network) is a German non-profit which makes open-sourced artificial intelligence models and datasets. [1] It is best known for releasing a number of large datasets of images and captions scraped from the web which have been used to train a number of high-profile text-to-image models, including Stable Diffusion and Imagen.
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.
Called meta-build tools, these generate configuration files for other build tools such as those listed above. CMake – Cross-platform build tool for configuring platform-specific builds; very popular; integrated with IDEs such as Qt Creator, [1] KDevelop and GNOME Builder [2]
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.
In the same year the specification of the API and its header files was released under BSD license. In 2007, when the project Gelato was stopped, the development of ImageIO also ceased. After this Larry Gritz started a new project - OpenImageIO. In April 2009 OpenImageIO was accepted into the Google Summer of Code program with four student slots.
If the input image does not have the same resolution as the native resolution (224x224 for all except ViT-L/14@336px, which has 336x336 resolution), then the input image is scaled down by bicubic interpolation, so that its shorter side is the same as the native resolution, then the central square of the image is cropped out.
The Quasar Framework (commonly referred to as Quasar; pronounced / ˈ k w eɪ. z ɑːr / [4]) is an open-source Vue.js based framework for building apps with a single codebase. It can be deployed on the Web as a SPA, PWA, SSR, to a Mobile App, using Cordova for iOS & Android, and to a Desktop App, using Electron for Mac, Windows, and Linux.