Exterior driving dataset: San Francisco

Contextual driving intelligence

Enable your AI models to navigate and respond to real-world traffic conditions, infrastructure variations and critical driving events with enhanced accuracy.

Scene perception and understanding

Train AI models to accurately perceive, classify and understand complex road environments including pedestrians, vehicles, signage and changing weather or lighting conditions.

Anomaly and edge case detection

Detect rare or abnormal scenarios to strengthen system resilience, improve safety and reduce failure rates.

Scenario-rich training for on-road reliability

Expose AI systems to a wide spectrum of urban and highway driving environments to ensure generalized performance across geographies and driving styles.