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LiDAR & 3D Point Cloud Annotation

High-fidelity 3D annotation for autonomous driving and robotics. We support 64-128 channel sensor data.

Interactive Preview

LIVE
3D LiDAR Point Cloud Annotation Interface for Autonomous Vehicles
CarID-42
Dist: 42.5mVel: 45km/hPts: 1,240
Pedestrian 99%
PTS: 4.2MFPS: 30
FOV: 360°CH: 128
Output PreviewJSON
// Custom Output Format
{
  "project_id": "P-9921",
  "batch_id": "B-001",
  "data": { ... },
  "qa_status": "passed",
  "reviewer": "USR_992"
}

Capabilities & Features

  • 3D Cuboid AnnotationEnterprise grade precision
  • Point Cloud SegmentationEnterprise grade precision
  • Sensor FusionEnterprise grade precision
  • LiDAR-Camera CalibrationEnterprise grade precision

Quality Assurance Process

Every project undergoes a rigorous 3-step verification process: Annotator Self-Check, Senior Reviewer Audit, and Automated Consistency Checks. We guarantee 98%+ accuracy on Golden Sets.

Start a Pilot
How it flows

LiDAR & 3D Point Cloud Annotation, as one route

From your raw data to a model-ready dataset, with quality gates you can audit.

  1. Business problem

    Your raw data

    LiDAR & 3D Point Cloud

  2. VentureSoft thinking

    Guidelines and gold set

    Agreed with your ML team

  3. Technology

    3D Cuboid Annotation

  4. Technology

    Point Cloud Segmentation

  5. Technology

    Three-tier QA

    100% review, golden-set audit

  6. Measured outcome

    Model-ready dataset

    Delivered in your format

Where it is usedAutonomous perceptionRoboticsMapping and surveyingSmart infrastructure
Engagement

From pilot to production

  1. 1
    Phase 1

    Sample and scope

    Send a sample; we return a labeled subset with QA metrics.

  2. 2
    Phase 2

    Guidelines

    Schema, edge cases, and acceptance criteria versioned together.

  3. 3
    Phase 3

    Pilot batch

    Up to 5,000 annotations through the three-tier workflow.

  4. 4
    Phase 4

    Scale

    Dedicated pod with API delivery into your pipeline.

  5. 5
    Destination

    Continuous improvement

    Gold sets and guidelines evolve with your model.

Start with a pilot dataset

Send us a sample and we will return annotated data with QA metrics within days.