dbmi-annotator | annotation framework enable user account and annotation | Data Labeling library

 by   dbmi-pitt HTML Version: v1.0 License: Apache-2.0

kandi X-RAY | dbmi-annotator Summary

kandi X-RAY | dbmi-annotator Summary

dbmi-annotator is a HTML library typically used in Artificial Intelligence, Data Labeling applications. dbmi-annotator has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

based on annotator.js, an annotation framework enable user account and annotation permission management and templating annotation plugin in biomedical domain.
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            kandi-support Support

              dbmi-annotator has a low active ecosystem.
              It has 4 star(s) with 4 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 36 open issues and 146 have been closed. On average issues are closed in 86 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dbmi-annotator is v1.0

            kandi-Quality Quality

              dbmi-annotator has no bugs reported.

            kandi-Security Security

              dbmi-annotator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              dbmi-annotator is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              dbmi-annotator releases are available to install and integrate.

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            dbmi-annotator Key Features

            No Key Features are available at this moment for dbmi-annotator.

            dbmi-annotator Examples and Code Snippets

            No Code Snippets are available at this moment for dbmi-annotator.

            Community Discussions

            QUESTION

            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?

            ...

            ANSWER

            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:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            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:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            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.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install dbmi-annotator

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/dbmi-pitt/dbmi-annotator.git

          • CLI

            gh repo clone dbmi-pitt/dbmi-annotator

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            git@github.com:dbmi-pitt/dbmi-annotator.git

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