ImageLabeling-MLKit | ML Kit 's image labeling APIs | Data Labeling library

 by   icanerdogan Java Version: Current License: No License

kandi X-RAY | ImageLabeling-MLKit Summary

kandi X-RAY | ImageLabeling-MLKit Summary

ImageLabeling-MLKit is a Java library typically used in Artificial Intelligence, Data Labeling, Deep Learning, Tensorflow applications. ImageLabeling-MLKit has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

With ML Kit's image labeling APIs you can detect and extract information about entities in an image across a broad group of categories. The default image labeling model can identify general objects, places, activities, animal species, products, and more.
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            kandi-support Support

              ImageLabeling-MLKit has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              ImageLabeling-MLKit has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ImageLabeling-MLKit is current.

            kandi-Quality Quality

              ImageLabeling-MLKit has no bugs reported.

            kandi-Security Security

              ImageLabeling-MLKit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

            kandi-Reuse Reuse

              ImageLabeling-MLKit releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ImageLabeling-MLKit and discovered the below as its top functions. This is intended to give you an instant insight into ImageLabeling-MLKit implemented functionality, and help decide if they suit your requirements.
            • Initializes the camera
            • Run the image label detection
            • Get the permissions
            • Set the bitmap to use
            • Initializes the instance
            • Returns singleton
            • Get the bitmap
            • Click the view
            • Go back main activity
            • Hide the activityBar
            • Hide title bar
            • This method is called when a request has been granted
            • Initializes the system UI
            • On pause
            • On resume resume view
            Get all kandi verified functions for this library.

            ImageLabeling-MLKit Key Features

            No Key Features are available at this moment for ImageLabeling-MLKit.

            ImageLabeling-MLKit Examples and Code Snippets

            No Code Snippets are available at this moment for ImageLabeling-MLKit.

            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 ImageLabeling-MLKit

            You can download it from GitHub.
            You can use ImageLabeling-MLKit like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ImageLabeling-MLKit component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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