Case Study: Nuro achieves faster, more accurate autonomous vehicle model training with Scale AI

Nuro mines for rare classes in unlabeled data with Nucleus Object Autotag

Nuro, an AI-powered delivery vehicle company, needed a way to accurately label large volumes of complex road and sensor imagery for its autonomous driving systems. To support this work, Nuro turned to Scale AI for high-quality, scalable data annotation services, including pixel-level labeling and active learning workflows.

With Scale AI’s annotation tools and flexible workflow, Nuro was able to accelerate data labeling, improve model performance, and iterate more quickly on its self-driving technology. Scale AI helped Nuro rapidly train perception models for object detection, lane marking, and drivable area segmentation, enabling faster development of its autonomous delivery vehicles.

Nuro

Jack Guo

Head of Autonomy Platform