3D & LiDAR Annotation Services

Autonomous vehicles, mobile robots, and ADAS platforms depend on precisely labeled 3D perception data. Our LiDAR annotation services deliver cuboids, lanes, and fusion labels on point clouds and multi-camera rigs — with QA depth appropriate for safety-critical machine learning.

Precision labeling for 3D perception

Cuboid placement errors directly impact collision avoidance. Specialist annotators label pedestrians, vehicles, cyclists, and static obstacles with tight edge agreement — reviewed through consensus workflows your perception team can audit.

3D and fusion annotation types

LiDAR cuboids and 3D polygons; 2D bounding boxes on camera frames; lane and curb polylines; traffic light and sign attributes; temporal tracks across synchronized sensor streams.

Programs we support

Urban ADAS development, robotaxi perception stacks, warehouse AMR navigation, mining and construction autonomy, and drone-based mapping with dense point cloud assets.

Scale without sacrificing safety QA

High-volume frame pipelines with dedicated 3D review layers. We sample difficult scenes — rain, night, dense urban clutter — for additional specialist passes before release.

Exports for perception engineering

KITTI-style labels, custom JSON schemas, and direct delivery to your simulation or training infrastructure. Guidelines evolve with your taxonomy as new object classes enter the perception stack.

Get started

Ship LiDAR datasets your perception team can train on today. Share sensor configuration, class taxonomy, and QA requirements — we scope cuboid volume, fusion complexity, and delivery cadence.