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Perusall is a social web annotation tool intended for use by students at schools and universities. [1] It allows users to annotate the margins of a text in a virtual group setting that is similar to social media—with upvoting, emojis, chat functionality, and notification. It also includes automatic AI grading.
Computer Vision Annotation Tool (CVAT) is a free, 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. [2]
It was created for and used by a professional data annotation team. UX and UI were optimized especially for computer vision annotation tasks. JavaScript, HTML, CSS, Python, Django MIT License [1] [2] [3] LabelMe: Online annotation tool to build image databases for computer vision research. Perl, JavaScript, HTML, CSS [4] MIT License: Encord
It also invites students to "(re)construct a history through material engagement and exciting DIY (Do-It-Yourself) annotation practices." [4] Annotation practices that are available today offer a remarkable set of tools for students to begin to work, and in a more collaborative, connected way than has been previously possible. [5]
A.nnotate [1] is a web service for storing and annotating documents. Documents are either uploaded by the user or fetched from a web address supplied by the user. Uploads are accepted as PDF, Microsoft Word, office formats supported by OpenOffice and common image formats.
Users can move pages in the binder and annotate them with a stylus or word-processing or drawing tools. Users may add embedded multimedia recordings and hyperlinks. They can also add embeddable content, such as YouTube videos. [13] OneNote also integrates search features and indexing into a free-form graphics and audio repository.
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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.