LiDAR Data Annotation Services

Power Your Computer Vision AI Models with Expertly Labeled 3D Data

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Specialized LiDAR Data Annotation for AI Applications

Our LiDAR data labeling services provide datasets for computer vision AI models in autonomous driving, geospatial mapping, urban planning, and environmental monitoring.

Annotation Methods

3D Object Detection and Classification

Annotate objects like vehicles, pedestrians, cyclists, and infrastructure within LiDAR point clouds to train AI systems for accurate object recognition and interaction.

Semantic Segmentation

Label LiDAR object detection and tracking data at the point level to categorize features like roads, buildings, vegetation, and other environmental elements.

Bounding Box and Cuboid Annotations

Create 3D bounding boxes and cuboids around objects to define their dimensions and spatial positioning, enabling precise object tracking and localization.

Lane and Road Marking Annotation

Annotate road boundaries, lanes, and signage within LiDAR data processing services, helping AI systems navigate complex road environments.

Change Detection and Temporal Analysis

Identify and annotate changes in time-series LiDAR data for AI applications in monitoring construction progress, deforestation, or urban development.

Data Types

  • 3D Point Clouds for object recognition and environmental modeling
  • Geospatial Data for mapping and urban planning
  • Time-Series LiDAR for monitoring and change detection
  • High-Resolution Road Data for autonomous navigation systems
  • Multimodal Data combining LiDAR with camera and radar inputs for advanced AI applications

Use Cases

Autonomous Vehicles

Train AI models for autonomous vehicles to detect, classify, and navigate around objects, for safe and efficient operation of self-driving systems.

Geospatial Mapping and Surveying

Enable AI models to generate precise topographical maps, measure distances, and analyze terrain features with annotated LiDAR data.

Urban Development and Infrastructure

Support AI models that assess infrastructure conditions, plan construction projects, and optimize urban development efforts.

Environmental Monitoring

Leverage AI to analyze vegetation, track deforestation, and monitor natural habitats using labeled LiDAR point clouds.

Disaster Management and Response

Equip AI systems to identify structural damage, map affected areas, and plan rescue operations with annotated LiDAR datasets.

Why Choose Sapien for LiDAR Data Annotation?

Deep Expertise in 3D Data

Our team specializes in annotating complex LiDAR datasets, ensuring your AI models receive accurate, high-quality inputs for optimal performance.

Scalable Annotation Services

Whether your project requires small-scale pilot datasets or extensive labeling efforts, we scale to meet your needs without sacrificing quality.

Industry-Specific Solutions

From autonomous vehicles to environmental analysis, we tailor our annotation services to meet the specific needs of your project and industry.

Custom Labeling Modules and QA Processes

We build custom labeling models and quality control methods to ensure consistent, precise results for your AI applications.

Data Security and Compliance

We adhere to strict data security protocols and comply with global regulations to protect sensitive information throughout the annotation process.

Power Your Computer Vision AI Models with Sapien’s LiDAR Data Annotation Services

Power your computer vision AI with expertly labeled LiDAR datasets for precision and performance. Schedule a call today to learn how we can build you a custom data pipeline.

Schedule a Consult
Schedule a Consult