The most dimension of the KI

3D annotation is essential for training perception models that operate in real world environments. LiDAR sensors, depth cameras, stereo systems, and structured light capture rich spatial information that must be labeled to support detection, tracking, mapping, and navigation. DataVLab provides 3D annotation services performed by trained specialists who understand depth data, point cloud geometry, and multimodal fusion.

We annotate 3D bounding boxes, cuboids, instance segmentation in point clouds, ground plane labels, drivable areas, semantic classes, and temporal object tracks. Teams follow geometric rules for orientation, rotation, center alignment, and scale while handling occlusions, partial captures, sensor noise, and varying point densities.

Our services support autonomous vehicles, delivery robots, mobile mapping systems, smart city infrastructure, industrial inspection robots, and scientific research. Urban environments, warehouse spaces, road networks, and natural landscapes can all be annotated with accurate 3D structures.Workflows include multi step quality control, calibration checks, annotation refinement, sample based audits, and targeted review of challenging frames. Sensitive datasets can be processed under GDPR aligned workflows with EU only annotation.