point_labeler
A desktop tool for labeling individual points and polygons in LiDAR point cloud datasets, specifically designed for KITTI format.
What is point_labeler?
Point Cloud Labeling Tool is a desktop application for annotating LiDAR point cloud data, specifically designed for the KITTI dataset format. It allows users to label individual points and polygons in single point clouds or streams of point clouds, facilitating the creation of datasets for semantic scene understanding. The tool uses a tile-based approach to load overlapping scans, enabling efficient labeling of multiple point clouds in a defined area.
Researchers and developers working with LiDAR data, particularly those using the KITTI dataset for tasks like autonomous driving, semantic segmentation, or 3D scene understanding.
It provides a specialized, open-source solution for precise point cloud annotation with high-performance rendering, customizable labels, and efficient handling of large datasets through tile-based loading, which is essential for creating accurate training data for machine learning models.
Overview
My awesome point cloud labeling tool
Use Cases
Best For
- Labeling LiDAR point clouds in the KITTI dataset format
- Creating semantic segmentation datasets for autonomous driving research
- Annotating individual points and polygons in 3D point cloud data
- Handling large sequences of point clouds with overlapping scans
- Visualizing and labeling millions of points with smooth OpenGL rendering
- Customizing label definitions and colors via XML configuration files
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