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LiDAR · Point Cloud · 3D Sensing

Labeling the third dimension

3D bounding boxes, object segmentation, and ground-truth labeling for point-cloud perception.

The Data We Deliver

Real point-cloud annotation work

Anonymized samples from our LiDAR work: 3D boxes and segmentation on real scenes.

LiDARLiDAR point cloud annotation

Point Cloud Labeling

3D bounding boxes & segmentation

SceneLiDAR scene annotation

Scene Annotation

Object-level 3D ground truth

Modalities

What we label in 3D

01

3D Bounding Boxes

Object-level boxes with orientation for vehicles, pedestrians, and infrastructure.

02

Semantic Segmentation

Point-level classification of roads, vegetation, buildings, and objects.

03

Sensor Fusion

LiDAR-to-camera alignment and joint labeling for fusion stacks.

NDA & MSA FriendlyUdyam-Registered MSMEGST-Compliant InvoicingIndia Data ResidencyConsent-First DataAuditable QA

Prove it on your own point clouds

Send a sample, and we'll return labeled examples and a fixed-scope quote.

Request a Sample Batch
FAQ

Point clouds and 3D labeling

What annotation types do you provide for point clouds?

3D bounding boxes (cuboids), semantic segmentation, object tracking, and ground-truth labeling across LiDAR scenes.

Can you handle large LiDAR datasets?

Yes. We scale from pilot batches to full production datasets with multi-tier QA and batch-level traceability.

What does XYNTRIQ label in 3D?

Point-cloud annotation: 3D boxes and segmentation on real LiDAR scenes.

Are the LiDAR samples real?

Yes. Anonymized point-cloud samples from production LiDAR work.

How do I test on my own point clouds?

Send a sample; XYNTRIQ returns labeled examples and a fixed-scope quote.