Zooniverse | basic idea of a project is for the back end | Data Labeling library

 by   zooniverse JavaScript Version: Current License: No License

kandi X-RAY | Zooniverse Summary

kandi X-RAY | Zooniverse Summary

Zooniverse is a JavaScript library typically used in Artificial Intelligence, Data Labeling applications. Zooniverse has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

The basic idea of a project is for the back end (Ouroboros) to send subjects to users, who will create one or more annotations, which are bundled into a classification and returned to the back end.
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              Zooniverse has a low active ecosystem.
              It has 25 star(s) with 13 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 20 have been closed. On average issues are closed in 127 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Zooniverse is current.

            kandi-Quality Quality

              Zooniverse has 0 bugs and 0 code smells.

            kandi-Security Security

              Zooniverse has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Zooniverse code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Zooniverse does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
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              Without a license, all rights are reserved, and you cannot use the library in your applications.

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              Zooniverse releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              Zooniverse saves you 550 person hours of effort in developing the same functionality from scratch.
              It has 1287 lines of code, 0 functions and 82 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            Zooniverse Key Features

            No Key Features are available at this moment for Zooniverse.

            Zooniverse Examples and Code Snippets

            No Code Snippets are available at this moment for Zooniverse.

            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 Zooniverse

            The library is available in a private GitHub repo, zooniverse/Zooniverse. There are a couple branches; this document describes the no-deps branch, which is pretty similar to master, but has minimal dependencies and a couple more generic models. We’ve been building apps in CoffeeScript, using Spine (spine/spine) as an MVC library and Hem (spine/hem) as a dev server/builder.

            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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            CLONE
          • HTTPS

            https://github.com/zooniverse/Zooniverse.git

          • CLI

            gh repo clone zooniverse/Zooniverse

          • sshUrl

            git@github.com:zooniverse/Zooniverse.git

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