3D DATA ANNOTATION

Transform Your LiDAR Data with Precise 3D Annotations

Accelerate autonomous vehicle and robotics development with high-quality 3D point cloud annotations. Our expert team delivers sub-centimeter accuracy for object detection, segmentation, and environment perception.

3D Bounding Boxes
Semantic Segmentation
98%+ Accuracy
100M+
Points Labeled
5K+
LiDAR Frames
24/7
Expert Support
THE CHALLENGE

Accelerate Autonomous Perception with Expert 3D Annotations

Modern AI systems rely on LiDAR and 3D point cloud annotation to interpret the world in three dimensions. Without high-quality labeling, autonomous vehicles, drones, and robots struggle with reliable object detection and scene understanding.

Your Personal AI (YPAI) provides meticulously annotated 3D datasets that dramatically improve perception accuracy. We help you accelerate development cycles while maintaining the highest safety and performance standards across all environments.

+40%
Improved
Detection Accuracy
-60%
Development
Time Reduction
99.7%
Annotation
Precision
CAR
98.2%
PEDESTRIAN
97.5%
CYCLIST
96.8%
Urban
Highway
Off-road
LiDAR & 3D Point Cloud Annotation | YPAI

LiDAR & 3D Point Cloud
Annotation Services

Accelerate autonomous perception with expert 3D annotations. Our high-quality labeling improves object detection accuracy and scene understanding for autonomous vehicles, drones, and robots.

Frame-by-frame consistency to support temporal tracking in sequences

Comprehensive LiDAR Annotation Capabilities

Our LiDAR & 3D point cloud annotation service delivers end-to-end support for even the most complex 3D data. We specialize in a wide range of annotation types to fit your project needs.

3D Bounding Boxes

Precise cuboid annotations around objects (vehicles, pedestrians, obstacles) in point clouds enable your autonomous systems to detect and track objects with sub-centimeter accuracy.

  • Exact object delineation for robust detection and tracking
  • Multi-class labels with hierarchical taxonomy
  • Frame-by-frame consistency to support temporal tracking

Point Cloud Semantic Segmentation

We assign a class label to every single point in your LiDAR scans for pixel-perfect scene comprehension. Our annotators produce dense semantic segmentation of point clouds for advanced environment understanding.

  • Point-level labeling with dozens of semantic classes
  • Identification of drivable surface vs. obstacles for navigation
  • Fine-grained environment understanding for decision-making

Polyline & Polygon Annotations

For use cases like lane detection and region mapping, we provide precise polylines and polygons within 3D data. Our team marks boundaries and contours with high accuracy for complex geometries.

  • Lane marking annotation for autonomous driving path planning
  • 3D polygonal contours for irregular objects or exclusion zones
  • Accurate mapping of infrastructure in point clouds

Custom 3D Annotation Solutions

Every project is unique. YPAI supports custom ontologies and specialized annotation types such as keypoint marking or intensity annotations tailored to your exact requirements.

  • Support for custom labels and attributes (object IDs, conditions)
  • Integration of intensity, reflectivity, or RGB sensor data
  • Flexible output formats compatible with your 3D vision pipeline
APPLICATIONS

Use Cases Across Industries

Our LiDAR and 3D annotation services empower a variety of industries and applications, providing high-precision data labeling for cutting-edge perception systems.

Autonomous Vehicles

High-resolution 3D annotations for self-driving car sensors, enabling reliable detection of other vehicles, pedestrians, traffic signs, and free space. We help self-driving fleets achieve safer navigation and better obstacle avoidance.

Camera-LiDAR Fusion

Drones & Aerial Mapping

Precise point cloud labeling for UAV-based mapping in construction, mining, and agriculture. Annotate terrain, structures, and objects from aerial LiDAR to generate accurate 3D maps and surveys.

Terrain Analysis

Robotics & Automation

3D perception for robots in warehouses, factories, and delivery. Labeled point clouds allow robotic systems to recognize and handle objects, avoid hazards, and operate autonomously in dynamic environments.

Motion Planning

Geospatial & Smart Cities

Annotation of large-scale urban scans for smart city planning and infrastructure management. Identify buildings, roads, power lines, and trees in city-wide point clouds to inform urban development and asset monitoring.

Urban Planning
UNMATCHED EXCELLENCE

Why Choose YPAI for LiDAR Annotation?

When you partner with Your Personal AI, you gain an industry-leading team and platform dedicated to quality and innovation that transforms your sensor data into actionable insights.

Expert 3D Annotators

Our annotation specialists are trained in LiDAR data nuances and 3D tools, ensuring accurate labeling even in dense or sparse point clouds. They understand depth, occlusion, and perspective to label complex scenes correctly.

AI-Assisted Workflow

We utilize advanced AI-assisted labeling tools to pre-process and accelerate the annotation process, automating routine labeling tasks. Human experts then refine and validate each annotation, combining speed with precision.

Quality Assurance

Every project passes through rigorous QA stages – including automatic error checks and human review – to achieve enterprise-grade accuracy on your annotations. We ensure consistency in labeling across the entire dataset.

Scalability & Speed

Whether you need a few thousand frames or millions of points labeled, our cloud-based annotation infrastructure scales to your needs. Parallel workflows and a large skilled workforce enable quick turnaround without sacrificing quality.

Secure & Compliant

Data security is our priority. We follow strict confidentiality protocols and compliance standards (GDPR, NDA, etc.) to protect your sensitive sensor data. Our platform offers secure data handling and monitoring throughout the project.

Custom Solutions

We tailor our approach to your unique project requirements, offering custom annotation guidelines, specialized ontologies, and bespoke workflows. Our flexible platform adapts to your specific use case with custom output formats and integration options.

State-of-the-art labeling tools
Precise 3D bounding boxes
Frame-by-frame consistency
Multi-sensor fusion support

Transform Your 3D Data with Expert Annotation

High-precision LiDAR & point cloud annotations from industry experts

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