Lift your 2D semantic labels into the 3D world
Automatically project 2D segmentation onto LiDAR point clouds for fast, accurate 3D labeling.
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Automatically project 2D segmentation onto LiDAR point clouds for fast, accurate 3D labeling.
Learn MoreCombine SAM & OneFormer to get pixel-perfect 2D masks.
Map semantic masks to LiDAR points using camera calibration.
Generate colorized, semantically-labeled .laz point clouds.
Easily swap models, sensors, or datasets in seconds.
Uses SAM for mask proposals and OneFormer for semantic class assignment. Outputs COCO-style RLE masks per image.
View SSA DocsProjects 2D masks onto 3D point clouds with PanoramaProcessor & PointCloudProcessor. Saves enhanced .laz files.
View LabelLift3D Docs
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