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VoTT

Topic: Software

 From HandWiki - Reading time: 4 min

Short description: Microsoft open source image annotation tool
VoTT
Original author(s)Commercial Software Engineering (CSE) group at Microsoft in Israel
Developer(s)Microsoft and community
Initial release2018; 8 years ago (2018)
Stable release
v2.2.0 / June 3, 2020; 5 years ago (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

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.[2]

Overview

VoTT is a React+Redux web application that requires Node.js and npm.[3] It is available as a stand-alone web application and can be used in any modern web browser.[4]

Notable features include the ability to label images or video frames,[2] support for importing data from local or cloud storage providers,[3] 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.[6]

See also

References

  1. ↑ Tung, Liam. "Free AI developer app: IBM's new tool can label objects in videos for you". https://www.zdnet.com/article/free-ai-developer-app-ibms-new-tool-can-label-objects-in-videos-for-you/. 
  2. ↑ 2.0 2.1 2.2 Bornstein, Aaron (Ari) (February 4, 2019). "Using Object Detection for Complex Image Classification Scenarios Part 4". https://towardsdatascience.com/using-object-detection-for-complex-image-classification-scenarios-part-4-3e5da160d272. 
  3. ↑ 3.0 3.1 Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". https://blog.roboflow.com/vott/. 
  4. ↑ "Best Open Source Annotation Tools for Computer Vision". https://www.sicara.ai/blog/2019-09-01-top-five-open-source-annotation-tools-computer-vision. 
  5. ↑ "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020. https://www.arafattehsin.com/beyond-sentiment-analysis-object-detection-with-ml-net/. 
  6. ↑ "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. https://github.com/microsoft/VoTT. 



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