Software:VoTT
 | |
| 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 |
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:
- 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
- List of manual image annotation tools
- Computer Vision Annotation Tool
- LabelMe
- Supervised learning
- Image segmentation
References
- ↑ 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/.
- ↑ 2.0 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.
- ↑ 3.0 3.1 Solawetz, Jacob (July 27, 2020). "Getting Started with VoTT Annotation Tool for Computer Vision". https://blog.roboflow.com/vott/.
- ↑ "Best Open Source Annotation Tools for Computer Vision". https://www.sicara.ai/blog/2019-09-01-top-five-open-source-annotation-tools-computer-vision.
- ↑ "Beyond Sentiment Analysis: Object Detection with ML.NET". September 20, 2020. https://www.arafattehsin.com/beyond-sentiment-analysis-object-detection-with-ml-net/.
- ↑ "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.
External links
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