Waymo Open Dataset: High-Resolution Sensor Data from U.S. Cities

Waymo Open Dataset provides high-resolution sensor data and 3D labels for autonomous-driving research, released by waymo-research. The collection was last updated in January 2026 and serves as a benchmark for perception and motion prediction tasks.

Use Cases

• 3D object detection using laser_labels to classify and localize vehicles and pedestrians
• Multi-sensor fusion by projecting camera_image pixels onto LiDAR point clouds
• Motion forecasting by analyzing agent trajectories across sequential frames

Strengths

• Includes data from 5 high-resolution LiDAR sensors and 5 cameras
• Contains expert-annotated 3D bounding boxes for perception tasks
• Covers diverse urban environments and weather conditions

Limitations

• Strict non-commercial license limits usage to research purposes
• Large file sizes pose significant storage and download challenges
• Data format requires specific API tools for extraction and visualization

Provenance

Source

Waymo Research

Collection Method

Sensor data from autonomous vehicle fleet

Freshness

Last updated January 2026

Geography

United States