#18 · Primary category: Data Annotation & Labeling Tools
labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
Project last updated:05/02/26
GitHub Stars
803
Forks
134
Contributors
9
License
GPL-3.0
Why we included this project
Training a 3D object detector or a 6-DoF pose model means you eventually have to draw ground-truth boxes on raw point clouds, and labelCloud handles that step without much ceremony. It is a small Python app you install with pip, point at a folder of point clouds, and start labeling. Two workflows cover the actual annotation: pick a front-top edge and scroll to set rotation, or span length, width, and height across four vertices. Afterward you correct translation, dimension, and rotation with mouse and keyboard shortcuts. It ships with an example point cloud and a config file for tuning, so a small team can run it locally and skip standing up a heavier annotation platform.
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