Datasets:
metadata
license: cc-by-4.0
task_categories:
- object-detection
tags:
- Autonomous Driving
pretty_name: PandaSet
size_categories:
- 10K<n<100K
PandaSet aims to promote and advance research and development in autonomous driving and machine learning. 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).
PandaSet features:
- 48,000 camera images
- 16,000 LiDAR sweeps
- 103 scenes of 8s each
- 28 annotation classes
- 37 semantic segmentation labels
- Full sensor suite: 1x mechanical LiDAR, 1x solid-state LiDAR, 6x cameras, On-board GPS/IMU
Note: I am not affiliated with the creators of PandaSet (Scale and Hesai).