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Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
computer-vision annotate-images entity-recognition audio desktop classification dataset annotation-tool deep-learning imagenet udt text-annotation named-entity-recognition text-labeling semantic-segmentation image-segmentation image-labeling-tool machine-learning
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semantic-release-bot chore(release): 0.10.19 [skip ci] 
## [0.10.19](v0.10.18...v0.10.19) (2020-06-11)

### Bug Fixes

* Merge pull request [#192](#192) from UniversalDataTool/mt/ria ([7a5069b](7a5069b))
Latest commit b1f2234 Jun 11, 2020

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README.md

Universal Data Tool

GitHub version Master Branch npm version GitHub license Platform Support Web/Win/Linux/Mac Slack Image

Try it out at universaldatatool.com or download it here.

The Universal Data Tool is a web/desktop app for editing and annotating images, text, audio, documents and to view and edit any data defined in the extensible the .udt.json and .udt.csv standard. For video tutorials visit our Youtube channel.

Features

Universal Data Tool Computer Vision Cat

Audio Transcription

Download Formats

Data Entry

Named Entity Recognition

Collaboration Screenshot

Collaboration Demo

Sponsors

wao.ai sponsorship image

Installation

Web App

Just visit universaldatatool.com!

Trying to run the web app locally? Run npm install then npm run start after cloning this repository to start the web server

Desktop Application

Download the latest release from the releases page and run the executable you downloaded.

Principles

  • Correctness of implementation of the .udt.json standard.
  • Implement entirety of the .udt.json and .udt.csv standards
  • Rely on external libraries which specialize in each type of annotation to enable the best tools to be used
  • Easy to use
  • Easy to integrate

Contributing

Libraries

The Universal Data Tool is always looking for the best libraries to provide the user interface for different types of annotation. Currently, the following libraries are used...

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Severin Ibarluzea
💻 📖 👀
Puskuruk
💻 👀
CedricJean
💻
beru
💻
Marc
💻 📖
Wafaa-arbash
📖
Pierre Grimaud
📖

This project follows the all-contributors specification. Contributions of any kind welcome!

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