# Grasp-Anything

From the catalogue. Listed by one researcher from one source page.

- id: `grasp-anything`
- kind: grasping
- robot or device: generated images with planar grasp labels (class: sensor only)
- how collected: foundation model generation
- size as stated: 1 million samples; 3 million objects
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2023
- organisation: AIRV Lab (airvlab)
- licence: MIT (Hub tag) (class: open)
- access: gated (class: gated)
- link (dataset): https://huggingface.co/datasets/airvlab/Grasp-Anything
- Hugging Face repository: `airvlab/Grasp-Anything`, 866 downloads in 30 days, https://huggingface.co/datasets/airvlab/Grasp-Anything
- note: Download form and licence agreement required.

Confirm the licence at the link before relying on it.