pyon2-labeler | Labeling tool for machine learning

by homuler JavaScript Version: Current License: MIT

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

kandi X-RAY | pyon2-labeler Summary

pyon2-labeler is a JavaScript library. pyon2-labeler has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This tool is a tool to label images for machine learning. With this tool, you can select bounding boxes of objects and label those names.

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Quality

Security

License

Reuse

Support

pyon2-labeler has a low active ecosystem.

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

It had no major release in the last 6 months.

pyon2-labeler has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyon2-labeler is current.

Quality

pyon2-labeler has no bugs reported.

Security

pyon2-labeler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pyon2-labeler 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

pyon2-labeler releases are not available. You will need to build from source code and install.

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

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pyon2-labeler Key Features

No Key Features are available at this moment for pyon2-labeler.

pyon2-labeler Examples and Code Snippets

No Code Snippets are available at this moment for pyon2-labeler.

Community Discussions

No Community Discussions are available at this moment for pyon2-labeler.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyon2-labeler

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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