Berkeley Deep Drive Dataset

The largest dataset for self-driving AI. Contains over 100,000 videos of over 1,100-hour driving experiences across different times of the day and weather conditions. The annotated images come from New York and San Francisco areas.

Explore 100,000 HD video sequences of over 1,100-hour driving experience across many different times in the day, weather conditions, and driving scenarios. Our video sequences also include GPS locations, IMU data, and timestamps.

2D Bounding Boxes annotated on 100,000 images for bus, traffic light, traffic sign, person, bike, truck, motor, car, train, and rider.

Explore over 10,000 diverse images with pixel-level and rich instance-level annotations.

Learn complicated drivable decision from 100,000 images.

Multiple types of lane marking annotations on 100,000 images for driving guidance.

Company Type: Academia

Region: US & Canada

Industry Category: Autonomous Vehicles Automotive

Research: BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling