Home Projects labelCloud
labelCloud
Python

labelCloud

A lightweight tool for labeling 3D bounding boxes in point clouds.

by ch-sa · GitHub
Stars
Forks
License
Created
Last commit
Language
3d-object-detection6d-pose-estimationannotationGPL-3.0Python
View on GitHub
In plain words

Label 3D objects in point cloud data using a simple tool with mouse and keyboard controls.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
labelCloud — GitHub preview card
📈 Star history
797796
2026-07-202026-08-31
📈 Track labelCloud

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

A lightweight tool for labeling 3D bounding boxes in point clouds.

labelCloud has 796 stars on GitHub. It has been forked 135 times. labelCloud is written mainly in Python. It has been in active development since 2020. labelCloud is available under the GPL-3.0 license. Its main topics are 3d-object-detection, 6d-pose-estimation, annotation, bounding-boxes.

Frequently asked questions

What is labelCloud?

A lightweight tool for labeling 3D bounding boxes in point clouds.

Is labelCloud open source?

labelCloud is an open-source project. It is released under the GPL-3.0 license.

Is labelCloud free?

Yes. labelCloud is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does labelCloud use?

labelCloud is available under the GPL-3.0 license.

What language is labelCloud written in?

labelCloud is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — labelCloud

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=ch-sa-labelcloud)](https://olud.ai/project/ch-sa-labelcloud.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.