# MetaGraspNet / MetaGraspNetV2

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

- id: `metagraspnet-metagraspnetv2`
- kind: grasping
- robot or device: synthetic and real RGBD bin scenes, parallel-jaw and vacuum labels (class: simulation)
- how collected: physics-based synthesis plus real capture
- size as stated: 217k RGBD images, 82 article types; 2.3k+ real images
- hours: not stated | hours only claimed: none | episodes: not stated
- year: 2022
- organisation: KIT, University of Waterloo
- licence: see repo License.txt (class: unclear)
- access: open (class: open)
- link (dataset): https://github.com/maximiliangilles/MetaGraspNet
- note: Ambidextrous bin picking with amodal and manipulation-order labels.

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