Precision annotation for LiDAR and 3D sensor data. From autonomous vehicles to robotics, we deliver accurate 3D cuboid annotations and semantic segmentation for your spatial AI models.
Annotation Capabilities
Expert labeling for LiDAR point clouds with sub-meter accuracy for autonomous systems
Precise 3D cuboid annotation for objects in point cloud data. Essential for autonomous vehicle perception systems.
Point-level classification for every element in your 3D scene. Ideal for scene understanding and mapping.
Track objects across sequential LiDAR frames for motion prediction and trajectory analysis.
Annotate road lanes, boundaries, and drivable surfaces in 3D space for autonomous driving.
Annotate architectural elements and structures for 3D mapping and construction applications.
Tailored annotation workflows for specialized 3D perception tasks and unique use cases.
Our Process
A specialized workflow designed for precision 3D point cloud labeling
STEP 1
Upload LiDAR data in PCD, LAS, or custom formats
STEP 2
Specify object classes and annotation guidelines
STEP 3
Expert annotators label in 3D space with precision
STEP 4
Quality verification and export to your format
Powering autonomous systems with precise 3D perception data
3D objects annotated
3D accuracy rate
Average turnaround
AV projects completed
Use Cases
From autonomous vehicles to robotics, powering spatial AI applications
LiDAR perception systems
3D environment mapping
BIM and site modeling
Perimeter monitoring
Urban infrastructure
Terrain mapping
Volume estimation
Spatial computing
Expert 3D point cloud annotation for autonomous systems. Sub-meter accuracy guaranteed.
Common questions about our point cloud annotation services
