3 datasets found

Grasp-Anything++ is a large-scale language-driven grasp detection dataset featuring 1M samples, over 3M objects, and upwards of 10M grasp instructions.

A dataset for learning robust grasps with synthetic point clouds and analytic grasp metrics.

A large-scale dataset for robotic grasp detection, containing 54000 images and 1.1 million grasp annotations.