# DREDS and STD

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

- id: `dreds-and-std`
- kind: grasping
- robot or device: simulated and real RGB-D of specular, transparent, diffuse objects (class: sensor only)
- how collected: domain-randomized simulation plus real capture
- size as stated: STD: 30 cluttered scenes of 50 objects
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2022
- organisation: Peking University
- licence: CC BY-NC 4.0 (class: non commercial)
- access: open (class: open)
- link (dataset): https://github.com/PKU-EPIC/DREDS
- note: Depth restoration for grasping.

Confirm the licence at the link before relying on it.