GraspNet-1Billion
From the catalogue. Listed by one researcher from one source page.
- id:
graspnet-1billion - kind: grasping
- robot or device: Kinect Azure and RealSense D435 RGB-D, parallel-jaw grasp labels (class: sensor only)
- how collected: real capture, analytic grasp annotation
- size as stated: 190 scenes; 97,280 images; 88 objects; over 1.1 billion grasp poses
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2020
- organisation: SJTU MVIG
- licence: CC BY-NC-SA 4.0 (class: non commercial)
- access: open (class: open)
- link (dataset): https://graspnet.net/datasets.html
- note: Standard 6-DoF grasp benchmark.
Copies and ports on the Hugging Face Hub
Uploads whose name carries this dataset's name, most downloaded first. Each has its own licence, which can differ from the original's.
| repository | robot | class | kind | episodes | hours | licence | downloads (30 d) |
|---|---|---|---|---|---|---|---|
| DravenALG/GraspNet-1Billion | not stated | other | other | non commercial | 1,505 |
Confirm the licence at the link before relying on it.