Description
Interactive 3D simulations have enabled breakthroughs in robotics and computer vision, but simulating the broad diversity of environments needed for deep learning requires photo-realistic 3D object models. Because these models are scanned rather than modeled by hand, they are realistic, not idealized, reducing the difficulty of transferring learning from simulation to real. These models are preprocessed for use in Ignition Gazebo and the Bullet simulation platforms, but are easily adaptable to other simulators.