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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.
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.
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms. Originally developed by Intel , CVAT is designed for use by a professional data annotation team, with a user interface optimized for computer vision annotation tasks.
The list of symbols can be used to train into a standard autoregressive transformer (like GPT), for autoregressively generating an image. 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 ...
37.5 million image-text examples with 11.5 million unique images across 108 Wikipedia languages. 11,500,000 image, caption Pretraining, image captioning 2021 [11] Srinivasan e al, Google Research Visual Genome Images and their description 108,000 images, text Image captioning 2016 [12] R. Krishna et al. Berkeley 3-D Object Dataset
idiff - compare two images, print information on how much they differ; iinfo - prints basic (width and height of the image and its color depth) or detailed information about the given image; igrep - searches images for matching metadata; iv - a simple image viewer; maketx - a mipmap generation tool
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.
Show a caption if specified. Float the image on the right unless overridden with the location attribute. With an operand, e.g. thumb=Example.png, the operand names an image that is used as the thumbnail, ignoring any size specification. frame Preserve the original image size, and put a box around the image. Show any caption below the image.