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Integration with Zenodo (#779)
* Updated CHANGELOG with information about Zenodo * Updated version of the project.
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CHANGELOG.md

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### Security
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-
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## [0.5.0] - 2019-10-12
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## [0.5.1] - 2019-10-17
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### Added
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- Integration with Zenodo.org (DOI)
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## [0.5.0] - 2019-09-12
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### Added
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- A converter to YOLO format
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- Installation guide

README.md

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[![Codacy Badge](https://api.codacy.com/project/badge/Grade/840351da141e4eaeac6476fd19ec0a33)](https://app.codacy.com/app/cvat/cvat?utm_source=github.com&utm_medium=referral&utm_content=opencv/cvat&utm_campaign=Badge_Grade_Dashboard)
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[![Gitter chat](https://badges.gitter.im/opencv-cvat/gitter.png)](https://gitter.im/opencv-cvat)
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[![Coverage Status](https://coveralls.io/repos/github/opencv/cvat/badge.svg?branch=)](https://coveralls.io/github/opencv/cvat?branch=develop)
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[![DOI](https://zenodo.org/badge/139156354.svg)](https://zenodo.org/badge/latestdoi/139156354)
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CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI and UX decisions are based on feedbacks from professional data annotation team.
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cvat/__init__.py

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from cvat.utils.version import get_version
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VERSION = (0, 5, 0, 'final', 0)
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VERSION = (0, 6, 0, 'alpha', 0)
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__version__ = get_version(VERSION)

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