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Share Your Data
Upload raw images, video, text, audio, or LiDAR securely — we ingest from cloud storage, SFTP, or your existing ML pipeline.
Annotation service
3D & LiDAR Annotation Services
3D LiDAR cuboid annotation, lane labeling, and sensor fusion datasets for autonomous vehicles, robotics, and ADAS perception teams.
- 3D cuboids and lane polylines
- Sensor fusion camera + LiDAR
- Safety-critical QA workflows
- KITTI and custom JSON exports
Service overview
Autonomous vehicles, mobile robots, and ADAS platforms depend on precisely labeled 3D perception data. Our LiDAR annotation services deliver cuboids, lanes, and fusion labels on point clouds and multi-camera rigs — with QA depth appropriate for safety-critical machine learning.
Precision labeling for 3D perception
Cuboid placement errors directly impact collision avoidance. Specialist annotators label pedestrians, vehicles, cyclists, and static obstacles with tight edge agreement — reviewed through consensus workflows your perception team can audit.
3D and fusion annotation types
LiDAR cuboids and 3D polygons; 2D bounding boxes on camera frames; lane and curb polylines; traffic light and sign attributes; temporal tracks across synchronized sensor streams.
Programs we support
Urban ADAS development, robotaxi perception stacks, warehouse AMR navigation, mining and construction autonomy, and drone-based mapping with dense point cloud assets.
Scale without sacrificing safety QA
High-volume frame pipelines with dedicated 3D review layers. We sample difficult scenes — rain, night, dense urban clutter — for additional specialist passes before release.
Exports for perception engineering
KITTI-style labels, custom JSON schemas, and direct delivery to your simulation or training infrastructure. Guidelines evolve with your taxonomy as new object classes enter the perception stack.
Get started
Ship LiDAR datasets your perception team can train on today. Share sensor configuration, class taxonomy, and QA requirements — we scope cuboid volume, fusion complexity, and delivery cadence.
Industries we serve
Our annotation process
A proven calibration-to-production workflow for enterprise annotation programs.
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Project Analysis
We define labeling guidelines, class taxonomy, edge cases, and accuracy targets with your ML and product stakeholders.
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Annotation
Trained annotators label bounding boxes, masks, tracks, transcripts, or 3D cuboids in your toolchain or our workspace.
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Quality Assurance
Multi-pass review, consensus scoring, and automated checks before any dataset reaches your training jobs.
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Delivery & Support
Receive COCO, JSON, Pascal VOC, or custom exports — plus ongoing support as your models and taxonomies evolve.
Service FAQ
Answers about scope, quality, tooling, and delivery.
3D cuboids on point clouds, 2D fusion boxes, lane polylines, and free-form 3D polygons for robotics and AV perception.
Yes. We label fused LiDAR, camera, and radar sequences with temporal consistency across synchronized frames.
Multi-tier review, consensus on cuboid edges, and audit trails aligned to safety-critical perception expectations.
Ready to start your 3d & lidar annotation services project?
Talk to our enterprise team about volume, timeline, QA targets, and pricing.