Waymo Open Dataset: Sharing our self-driving data for research

Size and coverage: This release contains data from 1,000 driving segments. Such continuous footage gives researchers the opportunity to develop models to track and predict the behavior of other road users. Diverse driving environments: This dataset covers dense urban and suburban environments across Phoenix, AZ, Kirkland, WA, Mountain View, CA and San Francisco, CA capturing a wide spectrum of driving conditions (day and night, dawn and dusk, sun and rain). High-resolution, 360 view: Each segment contains sensor data from five high-resolution Waymo lidars and five front-and-side-facing cameras. Dense labeling: The dataset includes lidar frames and images with vehicles, pedestrians, cyclists, and signage carefully labeled, capturing a total of 12 million 3D labels and 1.2 million 2D labels.