# 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](https://huggingface.co/datasets/DravenALG/GraspNet-1Billion) | not stated | other | other |  |  | non commercial | 1,505 |

Each repository links to its Hugging Face page, where the files download. Everything this index knows about one upload: https://datasets.gurasees.com/datasets/{repository}.md

Confirm the licence at the link before relying on it.