coco-annotator | based image segmentation tool for object detection | Data Labeling library

by jsbroks JavaScript Version: v0.11.1 License: MIT

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

kandi X-RAY | coco-annotator Summary

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

Features • Wiki • Getting Started • Issues • License. COCO Annotator is a web-based image annotation tool designed for versatility and efficiently label images to create training data for image localization and object detection. It provides many distinct features including the ability to label an image segment (or part of a segment), track object instances, labeling objects with disconnected visible parts, efficiently storing and export annotations in the well-known COCO format. The annotation process is delivered through an intuitive and customizable interface and provides many tools for creating accurate datasets. Join our growing discord community of ML practitioner. If you enjoy my work please consider supporting me.

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coco-annotator has a medium active ecosystem.

It has 1808 star(s) with 410 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 190 open issues and 268 have been closed. On average issues are closed in 126 days. There are 38 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of coco-annotator is v0.11.1

Quality

coco-annotator has no bugs reported.

Security

coco-annotator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

coco-annotator is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

coco-annotator releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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coco-annotator Key Features

No Key Features are available at this moment for coco-annotator.

coco-annotator Examples and Code Snippets

No Code Snippets are available at this moment for coco-annotator.

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?

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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:

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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.

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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 coco-annotator

You can download it from GitHub.

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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