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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.
iconvert - converts image files from one format to another; 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
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.
Image: image 1: The image to use. The ''File:'' prefix is optional. Default — String: required: Image caption and alt text: caption 2: The caption to display under or above the image. Also sets the alt text. Default — String: required: Image width scaling factor: upright
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 ...
ExifTool is a free and open-source software program for reading, writing, and manipulating image, audio, video, and PDF metadata.As such, ExifTool classes as a tag editor.It is platform independent, available as both a Perl library (Image::ExifTool) and a command-line application.
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.
Bloom Image Editor, formerly known as Ormr, [2] is a non-destructive, [3] [4] [5] node-based vector and raster image editor for Mac OS X, Windows, and Linux. [6] Bloom features selection, painting, retouching, color correction tools, as well as layer-based image editing. Every operation is preserved individually and is editable at any point in ...