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@ -5,18 +5,19 @@
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[![CI][ci-img]][ci-url]
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[![Gitter chat][gitter-img]][gitter-url]
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[![Discord][discord-img]][discord-url]
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[![Coverage Status][coverage-img]][coverage-url]
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[![server pulls][docker-server-pulls-img]][docker-server-image-url]
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[![ui pulls][docker-ui-pulls-img]][docker-ui-image-url]
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[![DOI][doi-img]][doi-url]
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CVAT is an interactive video and image annotation
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tool for computer vision. It is used by tens of thousands of users and
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tool for computer vision. It is used by tens of thousands of users and
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companies around the world. CVAT is free and open-source.
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**A new repo**: CVAT core team moved the active development of the tool
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to this new repository. Our mission is to help developers, companies and
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organizations around the world to solve real problems using the Data-centric
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**A new repo**: CVAT core team moved the active development of the tool
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to this new repository. Our mission is to help developers, companies and
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organizations around the world to solve real problems using the Data-centric
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AI approach.
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Start using CVAT online for free: [cvat.ai](https://cvat.ai). Or set it up as a self-hosted solution:
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@ -66,8 +67,8 @@ for annotation and label refinement.
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This is an online version of CVAT. It's free, efficient, and easy to use.
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[cvat.ai](https://cvat.ai) runs the latest version of the tool. You can create up
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to 10 tasks there and upload up to 500Mb of data to annotate. It will only be
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[cvat.ai](https://cvat.ai) runs the latest version of the tool. You can create up
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to 10 tasks there and upload up to 500Mb of data to annotate. It will only be
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visible to you or people you assign to it.
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For now, it does not have [analytics features](https://cvat-ai.github.io/cvat/docs/administration/advanced/analytics/)
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@ -142,8 +143,8 @@ For more information about the supported formats, look at the
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## Deep learning serverless functions for automatic labeling
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CVAT supports automatic labelling. It can speed up the annotation process
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up to 10x. Here is a list of the algorithms we support, and the platforms they
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CVAT supports automatic labelling. It can speed up the annotation process
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up to 10x. Here is a list of the algorithms we support, and the platforms they
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can be ran on:
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<!--lint disable maximum-line-length-->
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@ -185,10 +186,10 @@ connection with your use of FFmpeg.
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## Where to ask questions
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[Gitter chat](https://gitter.im/opencv-cvat): you can post CVAT usage related questions there.
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[Gitter chat][gitter-url]: you can post CVAT usage related questions there.
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Typically they get answered fast by the core team or community. There you can also browse other common questions.
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[Discord](https://discord.gg/fNR3eXfk6C) is the place to also ask questions or discuss any other stuff related to CVAT.
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[Discord][discord-url] is the place to also ask questions or discuss any other stuff related to CVAT.
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[GitHub issues](https://github.com/cvat-ai/cvat/issues): please post them for feature requests or bug reports.
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If it's a bug, please add the steps to reproduce it.
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@ -224,3 +225,6 @@ questions and get our support.
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[doi-img]: https://zenodo.org/badge/139156354.svg
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[doi-url]: https://zenodo.org/badge/latestdoi/139156354
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[discord-img]: https://img.shields.io/discord/1000789942802337834?label=discord
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[discord-url]: https://discord.gg/fNR3eXfk6C
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