Added badges for dockerhub. (#3067)

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Nikita Manovich 5 years ago committed by GitHub
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# Computer Vision Annotation Tool (CVAT)
[![CI](https://github.com/openvinotoolkit/cvat/workflows/CI/badge.svg?branch=develop)](https://github.com/openvinotoolkit/cvat/actions)
[![Codacy Badge](https://api.codacy.com/project/badge/Grade/b9899c72f2764df0b5d26390cb872e21)](https://app.codacy.com/gh/openvinotoolkit/cvat?utm_source=github.com&utm_medium=referral&utm_content=openvinotoolkit/cvat&utm_campaign=Badge_Grade_Dashboard)
[![Gitter chat](https://badges.gitter.im/opencv-cvat/gitter.png)](https://gitter.im/opencv-cvat)
[![Coverage Status](https://coveralls.io/repos/github/openvinotoolkit/cvat/badge.svg?branch=develop)](https://coveralls.io/github/openvinotoolkit/cvat?branch=develop)
[![DOI](https://zenodo.org/badge/139156354.svg)](https://zenodo.org/badge/latestdoi/139156354)
[![CI][ci-img]][ci-url]
[![Gitter chat][gitter-img]][gitter-url]
[![Coverage Status][coverage-img]][coverage-url]
[![server pulls][docker-server-pulls-img]][docker-server-image-url]
[![ui pulls][docker-ui-pulls-img]][docker-ui-image-url]
[![DOI][doi-img]][doi-url]
CVAT is free, online, interactive video and image annotation
tool for computer vision. It is being used by our team to
@ -57,7 +58,7 @@ For more information about supported formats look at the
| Segmentation masks from [PASCAL VOC](http://host.robots.ox.ac.uk/pascal/VOC/) | X | X |
| [YOLO](https://pjreddie.com/darknet/yolo/) | X | X |
| [MS COCO Object Detection](http://cocodataset.org/#format-data) | X | X |
| [TFrecord](https://www.tensorflow.org/tutorials/load_data/tf_records) | X | X |
| [TFrecord](https://www.tensorflow.org/tutorials/load_data/tfrecord) | X | X |
| [MOT](https://motchallenge.net/) | X | X |
| [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0) | X | X |
| [ImageNet](http://www.image-net.org) | X | X |
@ -162,3 +163,19 @@ Other ways to ask questions and get our support:
- [Onepanel](https://github.com/onepanelio/core) - Onepanel is an open source
vision AI platform that fully integrates CVAT with scalable data processing
and parallelized training pipelines.
<!-- prettier-ignore-start -->
<!-- Badges -->
[docker-server-pulls-img]: https://img.shields.io/docker/pulls/openvino/cvat_server.svg?style=flat-square&label=server%20pulls
[docker-server-image-url]: https://hub.docker.com/r/openvino/cvat_server
[docker-ui-pulls-img]: https://img.shields.io/docker/pulls/openvino/cvat_ui.svg?style=flat-square&label=UI%20pulls
[docker-ui-image-url]: https://hub.docker.com/r/openvino/cvat_ui
[ci-img]: https://github.com/openvinotoolkit/cvat/workflows/CI/badge.svg?branch=develop
[ci-url]: https://github.com/openvinotoolkit/cvat/actions
[gitter-img]: https://badges.gitter.im/opencv-cvat/gitter.png
[gitter-url]: https://gitter.im/opencv-cvat
[coverage-img]: https://coveralls.io/repos/github/openvinotoolkit/cvat/badge.svg?branch=develop
[coverage-url]: https://coveralls.io/github/openvinotoolkit/cvat?branch=develop
[doi-img]: https://zenodo.org/badge/139156354.svg
[doi-url]: https://zenodo.org/badge/latestdoi/139156354

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