Classifying AV exposure to weather, traffic density, and road types is essential for evaluating system reliability enhancing model training and deployment strategies.

DDD’s specialized annotation teams streamline classification, ensuring high data accuracy and operational efficiency.

Categorizing AV footage enables efficient retrieval of critical events, like near-misses or policy violations, for compliance and ML training.

DDD develops tagging frameworks and executes large-scale video classification to support fleet managers and AI teams.

Evaluates an AV fleet’s exposure to various road conditions, helping teams balance testing across all relevant scenarios.

DDD compiles specialized reports detailing exposure trends, assisting product teams in optimizing their AV fleet’s real-world readiness.