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.

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