Expert annotation of LiDAR sensor data for autonomous vehicles, robotics, and HD mapping. We deliver 3D cuboid, polyline, ground plane, and semantic segmentation of point clouds — with the precision your perception models demand.
LiDAR point clouds are the primary sensor for autonomous vehicle perception. Every point in the cloud represents a 3D measurement — and your model needs those points correctly labelled to understand the world. We annotate vehicles, pedestrians, cyclists, road infrastructure, and free space with precise 3D cuboids, polylines, and ground planes.
Beyond autonomous vehicles, we support robotics workspace mapping, infrastructure inspection, and HD map creation. Our annotators are trained on leading LiDAR platforms including Velodyne, Hesai, and Luminar sensor formats.
We work with raw LiDAR frames and fused camera+LiDAR data, supporting PCD, PLY, BIN, and rosbag input formats. Output in KITTI, nuScenes, Waymo Open Dataset, or custom JSON schemas.
From self-driving cars to forestry AI, our 3D annotation supports diverse perception applications.
3D object detection and tracking for self-driving car perception stacks.
Workspace mapping and manipulation zone annotation for industrial robots.
Road marking, lane boundary, and infrastructure annotation for HD maps.
Building, bridge, and pipeline 3D scan annotation.
Aerial point cloud annotation for survey and inspection AI.
Tree canopy and terrain segmentation from airborne LiDAR.
We review your LiDAR sensor specs, scanning pattern, and fusion setup to tailor our annotation approach.
A representative set of frames annotated and reviewed against your 3D object taxonomy.
High-throughput 3D annotation with per-frame object count QA and track consistency checks.
IoU-based quality checks, cuboid orientation validation, and delivery in KITTI, nuScenes, or custom format.
Tight cuboids with correct orientation, dimensions, and class — every frame.
Teams trained on Velodyne, Hesai, Luminar, and Ouster LiDAR formats.
Ramp from pilot to full-fleet LiDAR annotation in days.
Proprietary sensor data and vehicle footage protected at all times.
Direct delivery to your training pipeline via API or secure file transfer.
3D annotation expertise at African talent rates — 40-60% below US/EU.
Send us a sample dataset and we'll return a pilot annotation within 48 hours.