ImageLabeling-MLKit | ML Kit 's image labeling APIs | Data Labeling library
kandi X-RAY | ImageLabeling-MLKit Summary
kandi X-RAY | ImageLabeling-MLKit Summary
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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Top functions reviewed by kandi - BETA
- 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
ImageLabeling-MLKit Key Features
ImageLabeling-MLKit Examples and Code Snippets
Community Discussions
Trending Discussions on Data Labeling
QUESTION
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 13:57Instead of using Enum
you can use a dict
mapping. You can avoid loops if you flatten your dataframe:
QUESTION
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 07:24Try something like:
QUESTION
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 22:39Is the data behind virtual network by any chance?
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install ImageLabeling-MLKit
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 .
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