Outside the Bounding Box: LiDAR Annotation for 3D Precision

If you’re building autonomous driving, robotics, or spatial AI systems, you know the pain: raw point clouds are messy, labeling is slow, and scaling annotation without sacrificing quality feels impossible.

In our first Outside the Bounding Box masterclass, we’ll show you how to turn LiDAR annotation from a blocker into a competitive advantage, using efficient, scalable 3D labeling workflows.

In this fast-paced, 20-minute session, you’ll learn how to:

• Speed up labeling with efficient 3D bounding box workflows
• Boost accuracy with point cloud + frame-by-frame annotation best practices
• Reduce manual effort through model-assisted and automation tools
• Scale with confidence using workflows built for large, complex datasets

Whether you’re leading an annotation team or refining your ML pipeline, you’ll walk away with practical strategies to produce high-quality LiDAR labels—faster, cheaper, and at scale.