VoTT

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.

VoTT
Original author(s)Commercial Software Engineering (CSE) group at Microsoft in Israel
Developer(s)Microsoft and community
Initial release2018 (2018)
Stable release
v2.2.0 / June 3, 2020 (2020-06-03)
Repositorygithub.com/microsoft/VoTT
Written inTypeScript
Operating systemWindows, Linux, macOS
PlatformCross-platform
TypeImage annotation tool
LicenseMIT License
Websitevott.z22.web.core.windows.net

Overview

VoTT is a React+Redux web application that requires Node.js and npm.[2] It is available as a stand-alone web application and can be used in any modern web browser.[3]

Notable features include the ability to label images or video frames, support for importing data from local or cloud storage providers,[2] and support for exporting labeled data to local or cloud storage providers.

Labeled assets can be exported into the following formats:

The VoTT source code is licensed under MIT License and available on GitHub.[5]

See also
  • List of manual image annotation tools
  • Computer Vision Annotation Tool
  • LabelMe
  • Supervised learning
  • Image segmentation

References
  1. Tung, Liam. "Free AI developer app: IBM's new tool can label objects in videos for you". ZDNet.
  2. Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". Roboflow Blog.
  3. "Best Open Source Annotation Tools for Computer Vision". www.sicara.ai.
  4. "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020.
  5. "GitHub - microsoft/VoTT: Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos". November 15, 2020 – via GitHub.
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