Waymo Open Dataset for Autonomous Vehicle Perception and Prediction

Waymo Open Dataset V 1.4.3 is a collection of sensor data for autonomous driving research, released by Waymo. It contains data for tasks like motion prediction, object detection, and computer vision. The dataset was uploaded to HuggingFace by AnnaZhang in September 2025.

Use Cases

• Train 3D object detection models using LiDAR point cloud and camera image data.
• Develop motion prediction algorithms from sequences of tracked vehicle and pedestrian trajectories.
• Perform sensor fusion research by aligning data from multiple cameras and LiDAR sensors.
• Benchmark model performance on the Regionus subset for region-specific autonomous driving challenges.

Strengths

• Dataset originates from Waymo, a leading company in autonomous vehicle technology.
• Platform tags indicate coverage of multiple core autonomous driving tasks like Motion Prediction and Object Detection.

Limitations

• Specific details like row count, file size, and data collection time range are unknown.
• The absence of column names and sample data makes initial exploration and preprocessing planning difficult.

Provenance

Source

Waymo

Collection Method

Collected using Waymo's autonomous vehicle sensor suites, including cameras and LiDAR.

Freshness

Last updated on the platform in September 2025.