3D Point Cloud & LiDAR Annotation

Production-ready at any scale

iMerit’s 3D Multi-Sensor Fusion platform pairs Ango Hub’s purpose-built LiDAR tooling with 6,000+ domain-trained annotators to deliver the ground-truth accuracy that safety-critical perception systems demand.
3D Point Cloud & LiDAR Annotation

ANGO HUB

MULTI-MODAL ANNOTATION PLATFORM

AUTOMATED CUBOID
PLACEMENT

Cuboids created and refined without manual frame traversal. Annotators focus on quality, not repetition.

2D / 3D PROJECTION

LiDAR point clouds mapped onto 2D camera images using sensor calibration data, with cross-modal consistency enforced by default. 2D-to-3D projection is also supported via ray beam, enabling bidirectional label transfer between sensor modalities.

TEMPORAL INTERPOLATION

Object tracking carried forward across sequential frames automatically, with annotator-controlled corrections applied where needed. Reduces re-annotation effort significantly on long sequences while maintaining per-frame accuracy.

ATTRIBUTE PROPAGATION

Labels assigned once, carried forward across frames and updated only on scene changes. This eliminates redundant re-annotation across long sequences.

UNIFIED FOCUS MODE

Front, back, and side views of any object are accessible simultaneously, which is critical for precise orientation in complex urban scenes.

ANNOTATION CAPABILITIES

Every technique your perception stack requires.

3D CUBOID ANNOTATION

Precise 6-DoF bounding boxes for vehicles, pedestrians, cyclists, and infrastructure across sequential frames with consistent object tracking.

3D semantic SEGMENTATION

SEMANTIC SEGMENTATION

Per-point class assignment across road surface, vegetation, structures, and dynamic objects, with inter-annotator consistency enforced across batches.

2D-3D-LINKING

2D / 3D LINKING

Cross-modal label consistency between LiDAR point clouds and RGB camera imagery. Class, instance ID, and attributes are matched across both views.

POLYLINE-ANNOTATION

POLYLINE ANNOTATION

Lane markings, road boundaries, curbs, and guardrail traces to support path planning and lane-keeping systems in urban and highway environments.
LANDMARK-ANNOTATION

HD MAP CONSTRUCTION

Precise labeling of road topology, lane geometry, intersections, and static infrastructure to support HD map generation for autonomous navigation. Includes polyline tracing, surface classification, and cross-sensor validation.
PANOPTIC-SEGMENTATION

PANOPTIC SEGMENTATION

Combined semantic and instance labeling for complex scene understanding where both stuff classes and individual object identities are required simultaneously.

“The significant reduction in our QA rejection rate and the doubling of our monthly output volume are direct reflections of iMerit’s commitment to quality.”
– Data Operations Lead, Leading Automotive Technology Company

CASE STUDY

Accelerating 3D sensor fusion for a leading automotive technology company.

A global automotive technology leader faced significant hurdles processing vast amounts of 3D multi-sensor data. iMerit deployed specialized smart annotation tools including multi-modal LiDAR/RGB interfaces, temporal interpolation, 3D snapping for bounding box alignment, and sensor alignment overlays. AI-assisted pre-labeling and automated QA rules proactively caught missing or misaligned objects before delivery.

0 %
Decrease in QA rejection rate
0 %+
Increase in throughput
0 %

Reduction in annotation time

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HOW iMERIT COMPARES

While others stop at software, iMerit goes further to own the outcome.

Powerful Platform

Ango Hub is purpose-built for multi-sensor 3D annotation at scale.

Expert People

Full-time, domain-trained annotators assessed at 80%+ before any project.

Proven Processes

Two-stage QA, automated point density monitoring, schema design.

Better AI Outcomes

Higher quality data, faster time to value, lower risk, better model performance.

WHAT YOU NEED TYPICAL PLATFORM VENDOR iMerit
Platform + People + Process
Annotation Platform ✓ Provides Platform ✓ Own Platform + Best-in-Class Tools
Expert 3D Annotation Workforce ~ Limited / gig workers ✓ Managed Global Workforce
Domain & Subject Matter Expertise ~ Limited ✓ Deep Bench of Specialists
Workflow & Schema Design ✗ Customer Owned ✓ iMerit Designs & Implements
Temporal Interpolation & Attribute Propagation ✗ Platform-only / no managed workflow ✓ Native to Ango Hub 3D workflow
Quality Systems & Governance ✗ Customer Owned ✓ iMerit Owns & Operates
Production Delivery & Scaling ~ Limited ✓ Delivers at Scale
End-to-End Accountability ✗ No ✓ Yes — Outcome Driven
YOUR OUTCOME

Better Data. Better Models. Real-World Impact.

INDUSTRY VERTICALS

Built for every domain that depends on 3D perception.

AUTONOMOUS-VEHICLES

AUTONOMOUS VEHICLES

Object detection, scene segmentation, HD map construction, and edge-case coverage for highway, urban, and robotaxi programs.
ROBOTICS

ROBOTICS

Workspace mapping, obstacle avoidance, 3D bounding boxes for manipulation training, and multi-sensor fusion for AMRs and industrial arms.
AUTONOMOUS-TRUCKING

AUTONOMOUS TRUCKING

Highway perception, long-range object tracking, adverse weather annotation, and multi-sensor fusion for Level 4 freight programs.
AGRICULTURAL-ROBOTICS

AGRICULTURAL AI

Terrain mapping, plant detection, weed classification, and environmental sensing via LiDAR, multispectral, and vision-based systems.
DRONES-&-UAV

DRONES & UAV

Aerial LiDAR annotation for infrastructure inspection, precision mapping, and autonomous navigation in GPS-limited environments.
CONSTRUCTION-&-INDUSTRIAL

CONSTRUCTION & INDUSTRIAL

Site scanning, equipment detection, safety zone annotation, and point cloud segmentation for digital twin and inspection programs.

GEOSPATIAL &
MAPPING

HD map construction, topographic labeling, infrastructure classification, and building segmentation from aerial and terrestrial LiDAR.
ROBOTAXI

ROBOTAXI

Urban scene annotation for autonomous ride-hailing programs: dense pedestrian environments, complex intersection coverage, pick-up/drop-off zone edge cases, and multi-sensor fusion for commercial robotaxi deployment.

WHERE iMERIT 3D ANNOTATION DELIVERS

Three production scenarios where the depth of iMerit’s platform and workforce creates measurable advantage over annotation-only vendors.

DENSE URBAN
INTERSECTION COVERAGE

Robotaxi and urban AV programs require annotation of 100+ objects per frame. This includes pedestrians, cyclists, micro-mobility, signage, and dynamic obstacles with consistent instance IDs across camera and LiDAR simultaneously. iMerit’s multi-sensor fusion workflow handles this at production scale.

LONG-RANGE HIGHWAY
PERCEPTION

Level 4 trucking and highway AV programs need precise object tracking at 150m+ range where point density is sparse and annotator confidence is lowest. iMerit’s domain-trained workforce and Ango Hub’s temporal interpolation tooling maintain label quality across long-range, low-density frames throughout the pipeline.

ADVERSE WEATHER
EDGE CASE ANNOTATION

Rain, fog, and snow degrade LiDAR return quality in ways that expose annotation gaps invisible in clean-weather data. iMerit’s domain-trained annotators are specifically assessed on adverse condition datasets. This is the long-tail coverage that determines real-world model performance.

THE iMERIT DIFFERENCE

MANAGED GLOBAL WORKFORCE

Managed service leveraging a large, diverse global workforce of full-time 3D annotation specialists. All are assessed at the 80%+ threshold before any client project begins.

END-TO-END SOLUTION

From sensor schema design to production annotation, QA, and delivery. iMerit combines Ango Hub tooling with domain workforce expertise into a single managed pipeline.

QUALITY ASSURED

Rigorous training, two-stage QA workflows, and automated point density monitoring ensure production-grade accuracy for safety-critical perception programs.

0 +
Full-time domain-trained annotators globally
0 M+
Data points processed across AV, robotics & geospatial
0 %+
Minimum annotator pass threshold before any project
0 -Level
Training curriculum before any annotator touches LiDAR data

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WHAT YOU NEED​

Ready to build ground-truth data that moves your model?