The Waymo Open Dataset is growing!
The Waymo Open Dataset was first launched in August 2019 with a perception dataset comprising high resolution sensor data and labels for 1,950 segments. In March 2021, we expanded the Waymo Open Dataset to also include a motion dataset comprising object trajectories and corresponding 3D maps for 103,354 segments. We have released the Waymo Open Dataset publicly to aid the research community in making advancements in machine perception and autonomous driving technology.
The 2021 Challenges are now open! Check out the Challenges page for details.
Here's what's currently included in our unique Waymo Open Dataset. We plan to continue growing this dataset, so make sure to continue visiting the page for our most recent updates.
Check out our related paper, Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset, for additional details on the dataset and baseline models.
Check out our related paper, Scalability in Perception for Autonomous Driving: Waymo Open Dataset, for additional details on scale, diversity, and object detection and tracking baselines.
The Waymo Open Dataset is licensed for non-commercial use. You can find the license agreement here.
While this dataset is not reflective of the full capabilities of our systems, and is only a fraction of the data on which Waymo’s autonomous driving system is trained, we believe that for research purposes this large, diverse, and high-quality dataset should be extremely valuable.
Waymo Open Dataset is collected from a wide variety of places.
Waymo Open Dataset includes a wide variety of environments, objects and weather conditions.