PandaSet

Public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suite of a real self-driving-car. The first open-source dataset made available for both academic and commercial use, PandaSet combines Hesai’s best-in-class LiDAR sensors with Scale AI’s high-quality data annotation. PandaSet features data collected using a forward-facing LiDAR with image-like resolution (PandarGT) as well as a mechanical spinning LiDAR (Pandar64). The collected data was annotated with a combination of cuboid and segmentation annotation (Scale 3D Sensor Fusion Segmentation).

Data and Resources

Additional Info

Field Value
Source https://scale.com/open-datasets/pandaset
Maintainer Scale AI
Number of Instances 48,000 camera images, 16,000 LiDAR sweeps, +100 scenes of 8s each, 28 annotation classes, 37 semantic segmentation labels
Package Description 48,000 camera images, 16,000 LiDAR sweeps, +100 scenes of 8s each, 28 annotation classes, 37 semantic segmentation labels
Dataset has missing values False