Autonomous Vehicle Data Annotation
Training data for real-time object detection, path planning and obstacle avoidance across camera, LiDAR and video.
Perception datasets your safety team can trust
Autonomous and ADAS systems depend on consistent, edge-case-aware labels. We annotate camera images, video sequences and LiDAR point clouds to the taxonomy and guidelines your perception team defines.
Lane and traffic analysis, 3D cuboids and multi-frame tracking are delivered with calibration rounds and multi-stage QA so label quality stays stable as volume grows.
Used for
Capabilities
2D object detection
Bounding boxes and polygons for road users and objects.
- Vehicles, pedestrians, cyclists, animals
- Traffic signs, lights and road furniture
- Occlusion and truncation attributes
Lanes & drivable area
Polylines and segmentation for road geometry.
- Polyline and lane marking
- Drivable area and road-edge segmentation
- Lane and traffic analysis on video
3D & sensor fusion
LiDAR and multi-sensor labels for 3D perception.
- 3D cuboid annotation
- LiDAR-camera linked labels
- RADAR and infrared annotation
Video & tracking
Temporal labels across frames and scenes.
- Multi-frame object tracking
- Action and behaviour recognition
- Event and scenario tagging
How a project starts
Consultation & guidelines
We learn your project scope and annotation guidelines. We sign an NDA first if you need one.
Free pilot
A free, no-obligation pilot: up to 500 images, 10 minutes of video or 1 hour of audio, labeled to your guidelines.
Annotation & QA
Expert annotators, AI-assisted pre-labeling and blind cross-verification by a second QA team.
Delivery
Final datasets in your preferred format (COCO, YOLO, KITTI, GeoJSON, Pascal VOC or custom) on the agreed timeline.
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Frequently asked questions
What autonomous vehicle annotation do you provide?
We provide 2D bounding boxes, polygons, semantic segmentation, polyline and lane marking, 3D cuboids on LiDAR, LiDAR-camera fusion labels, multi-frame object tracking and event tagging.
Can you follow our existing labeling guidelines?
Yes. We work to your taxonomy and guidelines, run calibration rounds with your team, and customise QA checks to your acceptance criteria.
Do you offer a free pilot for AV data?
Yes. We annotate a free sample batch so your perception team can evaluate quality and turnaround.
Ready to see the quality for yourself?
Send us a sample of your data and guidelines. We'll annotate a free pilot batch so you can check accuracy and turnaround before you commit.