3D point clouds generated from LiDAR and advanced sensors capture the exact structure, depth, and spatial detail of real-world objects. With precise annotation and labeling, these datasets become the backbone of AI systems that require spatial awareness, object detection, and autonomous navigation.
At Learning Spiral AI, our skilled annotation team delivers high-quality point cloud processing and 3D labeling tailored to complex AI models. Trusted by Fortune 10 companies, we combine expertise and scale to provide accurate training data that powers advanced computer vision, autonomous vehicles, and smart industrial applications.
Use cases
3D LiDAR Annotation
Leverage LiDAR-based 3D point cloud data captured through laser beams. Using cuboid annotation and semantic segmentation, we deliver high-quality training datasets that power accurate AI models for autonomous systems.
2D LiDAR Annotation
2D LiDAR data can also be annotated efficiently. We use 2D bounding boxes to label LiDAR images, providing high-quality datasets for AI model training.