01AI data services
3D and LiDAR point-cloud annotation
3D point-cloud and LiDAR annotation for autonomous systems and robotics, from cuboid labeling to full semantic segmentation, with LiDAR and camera sensor fusion.
What is 3D and LiDAR annotation?
ConsultBae annotates 3D point-cloud and LiDAR data for autonomous systems and robotics, from cuboid labeling to full semantic segmentation, and fuses LiDAR with camera data where the pipeline needs both. This is the spatial annotation that flat 2D boxes cannot provide.
- 3D cuboids and point-cloud segmentation
- LiDAR and camera sensor fusion
- 3D object tracking across frames
- Built for autonomous perception and robotics
02Annotation types
What 3D annotation types does ConsultBae offer?
- 3D cuboid annotation for perception
- Point-cloud segmentation
- Sensor fusion labeling
- 3D object tracking
- Lane and road annotation
03Why it is hard
Why is 3D annotation harder than 2D?
A self-driving stack does not see the world as flat images. It sees points in space, arriving frame after frame. Annotating that space correctly is slow, three-dimensional, and unforgiving, and it is exactly what decides whether a perception model can be trusted near people.
04Use cases
Where is 3D and LiDAR data used?
- Autonomous vehicles and ADAS
- Robotics and teleoperation
- Mapping and surveying
05Related
Related services
06Get started
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