Prepare your 3D point cloud data with RADAR, photogrammetry, or LiDAR annotation for spatial AI tasks.
RUN FREE PILOTDeveloping 3D models for object detection and segmentation tasks
Facing lengthy in-house annotation processes for complex 3D data
Delivering annotated 3D datasets to clients
Need consistent, high-quality LiDAR annotations on demand
Using 3D data for autonomous navigation or inspections
Struggling to manage growing data volumes needing annotation
Requiring detailed 3D labeling for advanced spatial research
Limited by time and resources for manual point annotation
Label LiDAR and RADAR data for vehicle, pedestrian, and road sign detection.
Annotate photogrammetry and LiDAR for land use, infrastructure, and environmental analysis.
Label 3D data to model cityscapes and optimize infrastructure.
Annotate LiDAR or RADAR data to monitor crops and analyze vegetation.
Process point cloud data for terrain, deforestation, and ecosystem mapping.
Label RADAR and LiDAR for robot training and inventory management.
Annotate 3D data for surveillance and obstacle detection.
Label LiDAR and RADAR data for vehicle, pedestrian, and road sign detection.
Annotate photogrammetry and LiDAR for land use, infrastructure, and environmental analysis.
Label 3D data to model cityscapes and optimize infrastructure.
Annotate LiDAR or RADAR data to monitor crops and analyze vegetation.
Process point cloud data for terrain, deforestation, and ecosystem mapping.
Label RADAR and LiDAR for robot training and inventory management.
Annotate 3D data for surveillance and obstacle detection.
Send us your 3D point cloud data sample for free annotation to assess our quality.
Review the pilot results to see if we meet your quality standards and fit your budget.
Receive a customized proposal based on your specific 3D annotation needs.
Begin the LiDAR data annotation with our expert team to enhance your model.
Receive your annotated 3D point cloud data on time to keep your project on track.
Send your sample data to get the precise cost FREE
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Pay per labeled object or per annotation hour
Working with every annotation tool, even your custom tools
Work with a data-certified vendor: PCI DSS Level 1, ISO:2700, GDPR, CCPA
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Label Your Data were genuinely interested in the success of my project, asked good questions, and were flexible in working in my proprietary software environment.
Kyle Hamilton
PhD Researcher at TU Dublin
Trusted by ML Professionals
Not at all. We offer 3 flexible pricing options:
Short term for one-off projects like academic research
On-demand for seasonal projects when you need additional workforce
Long term for a streamlined data annotation workflow
We calculate according to how much time is spent on your object annotation. That’s why the pilot project is also valuable for us – we get to calculate the expenses
As soon as we clarify details on your dataset. You’ll get a reply within this or the next work day.
Absolutely! We’re flexible with any tools you want us to work in.
We earned several data compliance certificates to prove our dedication to data security:
PCI DSS Level 1
ISO:27001
GDPR
CCPA
After we sign the NDA, we make sure to anonymize your data for our employees to prevent any data leaks.
3D point cloud annotation is the process of labeling individual data points in a 3D space. Such data is generated by LiDAR, RADAR, or photogrammetry. This annotation type helps ML models recognize and interpret objects, boundaries, and spatial relationships in 3D scenes for applications like autonomous navigation and environmental monitoring.
To label 3D point cloud data, you must identify and mark objects, boundaries, or features within the three-dimensional data. Techniques include segmentation, bounding boxes, and classification. Our expert team at Label Your Data uses advanced LiDAR annotation tools to accurately label complex 3D data for precise object detection and spatial analysis.
LiDAR data annotation is the specific process of labeling data points collected from LiDAR sensors. It is essential for applications that require accurate depth perception and spatial awareness. Think of self-driving cars and urban planning. By annotating this data, Label Your Data enhances model accuracy for safe and reliable performance in these fields.