InteractiveAnnotation | Interactive Annotation using Segment Anything for fast | Data Labeling library

by Asad-Ismail Jupyter Notebook Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | InteractiveAnnotation Summary

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

Interactive Annotation using Segment Anything for fast and accurate segmentation

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Quality

Security

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Support

InteractiveAnnotation has a low active ecosystem.

It has 7 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

InteractiveAnnotation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of InteractiveAnnotation is current.

Quality

InteractiveAnnotation has no bugs reported.

Security

InteractiveAnnotation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

InteractiveAnnotation does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

InteractiveAnnotation releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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InteractiveAnnotation Key Features

No Key Features are available at this moment for InteractiveAnnotation.

InteractiveAnnotation Examples and Code Snippets

No Code Snippets are available at this moment for InteractiveAnnotation.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

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

Try something like:

Source https://stackoverflow.com/questions/64853962

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 InteractiveAnnotation

Follow these simple steps to set up the Interactive Annotation tool:. Install backend dependencies using pip install -r requirments.txt.
Load an image: Click the "Open Image" button to load an image for annotation.
Preview mode: By default, the tool is in preview mode, allowing you to explore the image without making annotations.
Annotation mode: Switch to annotation mode when you're ready to start annotating objects in the image.

Support

If you find this project helpful or interesting, please give it a ⭐️ to help it reach more people! And if you have any feedback, ideas, or want to contribute, feel free to open an issue or a pull request. We're always excited to hear from you! 🤗.

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