VoTT

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 release| 2018; 8 years ago (2018)
Stable release|

v2.2.0 / June 3, 2020; 6 years ago (2020-06-03)

Repository| github.com/microsoft/VoTT
Written in| TypeScript
Operating system| Windows, Linux, macOS
Platform| Cross-platform
Type| Image annotation tool
License| MIT License
Website| vott.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]

## Contents

* 1 Overview
* 2 See also
* 3 References
* 4 External links

## 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

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.

## External links

* Visual Object Tagging Tool (VoTT) v2.2.0
* on GitHub

* v
* t
* e

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