- Data & AI Solutions
- Off-the-Shelf Datasets
- Exterior driving dataset: Greater Los Angeles
- images
Exterior driving dataset: Greater Los Angeles
Updated May 7, 2025ADAS and AV training data with 82 hours of footage at 10 frames per second collected using a synchronized multi-camera setup. This dataset captures up to 5,500 kilometers of highways, urban and rural environments, with both day and night coverage and zero route repetition.

Specifications
- Location
- Los Angeles, CA
- Modality
- 2D Images
- Distance covered (kms)
- 5500
- Sensor setup
- 3x camera 1 (120 deg FoV) - 1x camera 2 (65 deg FoV)
- Vehicle type
- Sedan
- Data volume
- 82 hours of recording @10 FPS
- Year of collection
- 2024
- Time of day
- Day & Night
- Environment distribution distribution
- Highways: 70% - Urban: 20% - Rural: 10%
- Licensable
- Yes
- Special features
- No route repetition
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, rural and highway driving environments to ensure generalized performance across geographies and driving styles.

Explore our success stories
Curating high-quality data for the training and validation of ADAS and AV models
12TBdata captured daily
7500kmapproximate total distance covered
Curating high-quality data for the training and validation of ADAS and AV models
12TBdata captured daily
7500kmapproximate total distance covered
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