Complete annotation solutions for autonomous vehicle perception: LiDAR, camera, radar, and sensor fusion data labeling. Power your AV models with precision-labeled training data.
Annotation Services
Specialized labeling services for every type of autonomous vehicle sensor data
3D cuboid annotation for LiDAR point clouds. Label vehicles, pedestrians, and objects in 3D space with precise depth perception.
High-precision bounding box, semantic segmentation, and polygon labeling for camera feeds from multiple viewpoints.
Precise annotation of lane lines, road boundaries, and traffic markings for path planning and navigation systems.
Track vehicles, pedestrians, and objects across video frames with unique IDs for motion prediction models.
Label and classify all traffic signs, signals, and road markers for regulatory compliance and safety systems.
Synchronized multi-sensor annotation combining LiDAR, camera, and radar data for comprehensive scene understanding.
Our Process
A streamlined workflow built specifically for autonomous vehicle data pipelines
STEP 1
Securely upload LiDAR, camera, and radar data through our AV-optimized platform
STEP 2
Specify object classes, attributes, and annotation requirements specific to your AV stack
STEP 3
AV-specialized annotators label your data with sensor-specific expertise
STEP 4
Rigorous quality validation before delivering labeled data in your preferred format
Industry-leading accuracy for autonomous driving datasets
LiDAR frames annotated
Annotation accuracy
Average turnaround
AV clients served
Use Cases
Supporting every aspect of autonomous vehicle development
Vehicles, pedestrians, cyclists
Lane detection & navigation
LiDAR point cloud processing
Multi-object trajectory prediction
Get started with professional autonomous vehicle annotation services. Fast delivery, enterprise security, and guaranteed accuracy.
Common questions about our AV annotation services
