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Exterior driving dataset: Western US cities

Updated May 7, 2025

ADAS and AV training data with 280 hours of footage at 10 frames per second collected using a synchronized multi-camera setup. This dataset captures up to 6,000 kilometers of highways, urban and suburban environments across eight western US cities with minimal route repetition.

Specifications

Location
Las Vegas, NV - Phoenix, AZ - Santa Fe, NM - Denver, CO - Salt Lake City, UT - Portland, OR - Cheyene, WY - Boise, ID
Modality
2D Images
Distance covered (kms)
6000
Sensor setup
3x camera 1 (120 deg FoV) - 1x camera 2 (65 deg FoV)
Vehicle type
Sedan
Data volume
280+ hours of recording @10 FPS
Year of collection
2024 and 2025
Time of day
Day & Night
Environment distribution
City: 80% - Highways: 10% - Suburban: 10%
Licensable
Yes
Special features
Minimal route repetition in larger cities and optimized routes for maximum coverage in smaller cities - Diversity of traffic signs along the western US states

Accelerate model development & training processes

  • 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, suburban and highway driving environments to ensure generalized performance across geographies and driving styles.

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Case Study

Explore our success stories

  • Curating high-quality data for the training and validation of ADAS and AV models

    An autonomous vehicle shown driving on a busy highway.

    Discover how TELUS Digital used our proven field operations testing (FOT) experience to create a high-quality dataset for training advanced driver assistance systems (ADAS) and autonomous vehicles (AV).


    • 12TBdata captured daily


    • 7500kmapproximate total distance covered

    Download case study

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