EGAD (Evolved Grasping Analysis Dataset)
Introduced by Morrison et al. in EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
The Evolved Grasping Analysis Dataset (EGAD) comprises over 2000 generated objects aimed at training and evaluating robotic visual grasp detection algorithms. The objects in EGAD are geometrically diverse, filling a space ranging from simple to complex shapes and from easy to difficult to grasp, compared to other datasets for robotic grasping, which may be limited in size or contain only a small number of object classes.
Papers
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