labelbox-custom-labeling-apps | Explore example custom labeling apps built with Labelbox SDK | Data Labeling library

 by   Labelbox JavaScript Version: 1 License: Apache-2.0

kandi X-RAY | labelbox-custom-labeling-apps Summary

kandi X-RAY | labelbox-custom-labeling-apps Summary

labelbox-custom-labeling-apps is a JavaScript library typically used in Artificial Intelligence, Data Labeling applications. labelbox-custom-labeling-apps has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Explore examples and guides to build custom labeling apps (editors) in Labelbox.
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              labelbox-custom-labeling-apps has a medium active ecosystem.
              It has 1723 star(s) with 258 fork(s). There are 77 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              labelbox-custom-labeling-apps has no issues reported. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of labelbox-custom-labeling-apps is 1

            kandi-Quality Quality

              labelbox-custom-labeling-apps has no bugs reported.

            kandi-Security Security

              labelbox-custom-labeling-apps has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              labelbox-custom-labeling-apps 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.

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              labelbox-custom-labeling-apps releases are not available. You will need to build from source code and install.

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            labelbox-custom-labeling-apps Key Features

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            labelbox-custom-labeling-apps Examples and Code Snippets

            No Code Snippets are available at this moment for labelbox-custom-labeling-apps.

            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 labelbox-custom-labeling-apps

            You can download it from GitHub.

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