LiDAR & 3D Point Cloud Annotation Services
Accurate 3D labels for autonomous vehicles, robotics, drones and mapping, from a team with deep GIS and geospatial experience.
3D environment labeling built on geospatial expertise
We curate and annotate sensor-generated data from LiDAR, RADAR, infrared and thermal imaging systems to improve autonomous decision-making.
Because our team comes from GIS and geospatial mapping, we understand coordinate systems, projections and terrain, which matters when labeling aerial, drone and mobile-mapping point clouds as well as vehicle LiDAR.
Used for
Capabilities
3D cuboid annotation
Tight, consistently oriented 3D boxes for every object class in your taxonomy.
- Vehicles, pedestrians, cyclists and road objects
- Heading, dimensions and occlusion attributes
- Frame-to-frame consistent IDs across sequences
Point cloud segmentation
Point-level semantic and instance labels for scene understanding.
- Ground, vegetation, buildings and road surfaces
- Poles, wires and utility assets
- Custom class taxonomies
Multi-modal & sensor fusion
Linked labels across LiDAR and camera views for fusion models.
- LiDAR-camera projection checks
- 2D and 3D label linking
- RADAR and infrared annotation
Aerial, drone & satellite data
Geospatial labeling for mapping and inspection use cases.
- Drone and aerial LiDAR classification
- Satellite and aerial imagery labeling
- Corridor mapping for utilities and roads
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.
Related services:
Frequently asked questions
What LiDAR annotation services do you offer?
We provide 3D cuboid annotation, point cloud semantic and instance segmentation, object tracking across sequences, LiDAR-camera fusion labeling, RADAR and infrared annotation, and classification of drone and aerial LiDAR.
Do you annotate drone and aerial LiDAR as well as vehicle LiDAR?
Yes. Our GIS background means we regularly work with aerial, drone and mobile-mapping point clouds as well as automotive LiDAR.
Can we test your LiDAR annotation quality first?
Yes. Send a sample sequence and guidelines and we will annotate a free pilot batch so you can review accuracy before committing.
Where is your annotation team located?
Our team is based in Tiruchirappalli (Trichy), India, with a US support hub in Texas.
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.