Autonomous Vehicle Data Annotation – 2D, 3D, LiDAR

Expert annotation for self-driving perception systems. Lane detection, object tracking, sensor fusion, and 3D LiDAR cuboids in KITTI, nuScenes, and Waymo formats.

3D & LiDAR specialists
Industry format support
Frame tracking

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Trusted by Autonomous Driving Teams

1
M+

AV Frames Annotated

99.8
%

Frame Accuracy

3D

LiDAR Specialists

48h

Pilot Delivery

Annotation for Self-Driving Systems

Autonomous vehicles require pixel-perfect annotation across multiple sensor modalities. Our specialists are trained on industry-standard datasets (KITTI, nuScenes) and understand the complexities of occlusion, truncation, and multi-frame consistency.

We annotate for perception (what's around the car), prediction (where will objects move), and planning (how should the car respond).

2D bounding boxes for object detection
Instance segmentation for pixel-perfect masks
Polyline annotation for lane detection
3D cuboid annotation for LiDAR point clouds
Sensor fusion (camera + LiDAR + radar)
Object tracking across frames with consistent IDs
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Supported Formats

KITTI

nuScenes

Waymo Open

COCO

YOLO

Custom

Trusted by AI Leaders

See what our clients say about working with AI Taggers

AI Taggers' understanding of autonomous driving datasets is exceptional. They delivered 500k LiDAR frames with 99.8% accuracy, meeting all our nuScenes format requirements

Alex Johnson
VP of Perception, Autonomous Tech
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AV Specialists

Team trained on autonomous driving datasets and perception requirements

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3D & LiDAR

Point cloud and 3D cuboid annotation with orientation precision

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Frame Tracking

Consistent object IDs maintained across video sequences

Accelerate Your AV Development

Expert annotation for perception, prediction, and planning. Get your pilot in 48 hours.