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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.
VoTT (Visual Object Tagging Tool) is a free and open source Electron app for image annotation and labeling developed by Microsoft. [1] The software is written in the TypeScript programming language and used for building end-to-end object detection models from image and videos assets for computer vision algorithms.
The LabelMe annotation tool provides a means for users to contribute to the project. The tool can be accessed anonymously or by logging into a free account. To access the tool, users must have a compatible web browser with JavaScript support. When the tool is loaded, it chooses a random image from the LabelMe dataset and displays it on the screen.
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.
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.
List of manual image annotation tools; List of open-source software for mathematics; List of Microsoft software; List of smart TV platforms; List of Mobile Device Management software; List of model checking tools; List of MorphOS bundled applications; List of Mozilla products; List of music software; List of music trackers; List of music ...
An image annotation tool to label images for bounding box object detection and segmentation. Mac OS X Custom License [citation needed] Semantic Segmentation Editor: A web based labeling editor dedicated to the creation of training data for machine learning. The tool has been developed in the context of autonomous driving research.
In 2001 ARToolWorks was incorporated, and v1.0 of the open-source version of ARToolKit was released through the HIT Lab. ARToolKit was one of the first AR SDKs for mobile, seen running first on Symbian in 2005, [4] then iOS with the iPhone 3G in 2008, [5] and finally Android as early as 2010 [6] with a professional version by ARToolWorks later ...