Update README.md

README.md

@@ -1,3 +1,28 @@
 ---
 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
+
+[Official webpage](https://pandaset.org) | 
+[Dev-kit](https://github.com/scaleapi/pandaset-devkit)
+
+**Note**: I am not affiliated with the creators of PandaSet (Scale and Hesai).