kili-playground | Simplest and fastest image and text annotation tool | Data Labeling library

by kili-technology Jupyter Notebook Version: 2.110.0 License: Apache-2.0

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

kandi X-RAY | kili-playground Summary

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

Kili Technology is an image, text, and voice data annotation tool designed to help companies deploy machine learning applications faster. In a few minutes, you can start annotating your data thanks to a catalog of intuitive and configurable interfaces. You can easily accelerate the labeling process by connecting one of your models to pre-annotate the data. The work of the annotators is 2 to 5 times faster. Kili Technology facilitates collaboration between technical teams and the business, but also with outsourced annotation companies. Data governance is managed, and production quality control is facilitated. Kili Technology meets the needs of small teams as well as those of large companies with massive stakes.

Support

Quality

Security

License

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Support

kili-playground has a low active ecosystem.

It has 189 star(s) with 18 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 6 have been closed. On average issues are closed in 1 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of kili-playground is 2.110.0

Quality

kili-playground has 0 bugs and 0 code smells.

Security

kili-playground has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

kili-playground code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

kili-playground 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.

Reuse

kili-playground releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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kili-playground Key Features

No Key Features are available at this moment for kili-playground.

kili-playground Examples and Code Snippets

No Code Snippets are available at this moment for kili-playground.

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 kili-playground

Clone the repository and install with pip
Note that you can also pass the API key as an argument of the Kili initialization:.
Export an API KEY In My Account -> API KEY :
Add the KILI_API_KEY variable in your bash environment (or in the settings of your favorite IDE):
Then instantiate the Kili client:
Getting started on Kili Classification task
How to import assets (run it here)
How to export labels (run it here)
How to import predictions (run it here)
How to query data through the API (run it here)
How to use AutoML for faster labeling with Kili (run it here)
How to use Transfer Learning for faster labeling with Kili (run it here)

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 .

Find more information at: