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.[2]
| Original author(s) | Commercial Software Engineering (CSE) group at Microsoft in Israel |
|---|---|
| Developer(s) | Microsoft and community |
| Initial release | 2018 |
| Stable release | v2.2.0
/ June 3, 2020 |
| Repository | github |
| Written in | TypeScript |
| Operating system | Windows, Linux, macOS |
| Platform | Cross-platform |
| Type | Image annotation tool |
| License | MIT License |
| Website | vott |
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:
- Comma-separated values (CSV)
- Microsoft Azure Custom Vision Service
- Microsoft Cognitive Toolkit (CNTK)
- TensorFlow (Pascal VOC and TFRecords)[2]
- VoTT (generic JSON schema)[5]
The VoTT source code is licensed under MIT License and available on GitHub.[6]
See also
References
- Tung, Liam. "Free AI developer app: IBM's new tool can label objects in videos for you". ZDNet.
- Bornstein, Aaron (Ari) (February 4, 2019). "Using Object Detection for Complex Image Classification Scenarios Part 4:". Medium.
- Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". Roboflow Blog.
- "Best Open Source Annotation Tools for Computer Vision". www.sicara.ai.
- "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020.
- "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.
