cvat | Annotate better with CVAT , the industry-leading data engine | Data Labeling library

 by   opencv TypeScript Version: v2.4.6 License: MIT

kandi X-RAY | cvat Summary

kandi X-RAY | cvat Summary

cvat is a TypeScript library typically used in Artificial Intelligence, Data Labeling applications. cvat has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

CVAT is an interactive video and image annotation tool for computer vision. It is used by tens of thousands of users and companies around the world. Our mission is to help developers, companies, and organizations around the world to solve real problems using the Data-centric AI approach. Start using CVAT online: You can use it for free, or subscribe to get unlimited data, organizations, autoannotations, and Roboflow and HuggingFace integration. Or set CVAT up as a self-hosted solution: Self-hosted Installation Guide. We provide Enterprise support for self-hosted installations with premium features: SSO, LDAP, Roboflow and HuggingFace integrations, and advanced analytics (coming soon). We also do trainings and a dedicated support with 24 hour SLA.

            kandi-support Support

              cvat has a medium active ecosystem.
              It has 9527 star(s) with 2436 fork(s). There are 172 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 450 open issues and 2607 have been closed. On average issues are closed in 45 days. There are 22 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of cvat is v2.4.6

            kandi-Quality Quality

              cvat has no bugs reported.

            kandi-Security Security

              cvat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              cvat is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              cvat releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            cvat Key Features

            No Key Features are available at this moment for cvat.

            cvat Examples and Code Snippets

            No Code Snippets are available at this moment for cvat.

            Community Discussions


            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?



            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:



            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:



            Answered 2020-Nov-16 at 07:24


            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.



            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install cvat

            Installation guide
            Datumaro dataset framework
            Server API
            Python SDK
            Command line tool
            XML annotation format
            AWS Deployment Guide
            Frequently asked questions
            Where to ask questions


            CVAT supports multiple annotation formats. You can select the format after clicking the Upload annotation and Dump annotation buttons. Datumaro dataset framework allows additional dataset transformations with its command line tool and Python library. For more information about the supported formats, see: Annotation Formats.
            Find more information at:

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