Autonomous Vehicle Data Annotation
High-precision LiDAR, camera, and radar annotation for perception AI — powering Level 2 through Level 5 autonomy with sensor-fusion-ready training data.
Label Every Object Your Vehicle Needs to See
Autonomous driving systems depend on millions of precisely labeled frames to navigate safely. Centric Labs delivers production-scale annotation for 3D point clouds, multi-camera rigs, and fused sensor datasets. Our teams handle the complexity of temporal tracking, occlusion handling, and edge-case labeling that AV perception stacks demand.
- 3D cuboid annotation with full 9-DOF pose estimation
- Multi-frame temporal tracking with consistent object IDs
- Sensor fusion alignment across LiDAR, camera, and radar
- Lane marking, drivable area, and free-space segmentation
- 100K+ frames per week production capacity
Full-Stack AV Annotation
Every modality and label type your perception team needs.
LiDAR Point Cloud
3D bounding cuboids, semantic segmentation, and instance segmentation across Velodyne, Ouster, and Hesai point clouds. We handle dense urban scenes with 100+ objects per frame and maintain sub-centimeter positional accuracy.
Camera Annotation
2D bounding boxes, polygon segmentation, keypoints, and polylines across front, side, and rear camera feeds. Our teams annotate pedestrians, vehicles, cyclists, traffic signs, and road infrastructure with consistent taxonomies.
Sensor Fusion
Cross-modal alignment between LiDAR and camera data with synchronized object IDs. We project 3D cuboids onto 2D camera views and validate spatial consistency across all sensor modalities in your stack.
Lane & Road Mapping
Polyline annotation for lane boundaries, road edges, crosswalks, and stop lines. We label lane types (solid, dashed, double), turn markings, and merge zones for HD map generation and lane-keeping algorithms.
Video Tracking
Frame-by-frame object tracking with interpolation across driving sequences. We maintain consistent IDs through occlusions, re-appearances, and camera transitions — critical for prediction and planning modules.
Edge Case Labeling
Specialized annotation for rare events: construction zones, emergency vehicles, unusual pedestrian behavior, adverse weather, and night driving. We actively mine and label the long-tail scenarios that matter most for safety validation.
Production-Grade at Any Volume
We've annotated over 50 million driving frames for AV companies ranging from early-stage startups to global OEMs. Our dedicated AV annotation teams operate 24/7 with real-time quality dashboards, automated pre-labeling, and human review at every stage.
- Dedicated AV annotation teams with 2+ years experience
- Support for nuScenes, KITTI, Waymo Open, and custom formats
- Geo-specific labeling for US, EU, and Middle East road environments
Accelerate Your Autonomous Driving Program
From prototype to production — get the labeled data your perception stack needs. Start with a free pilot on your own driving data.