Yale-CMU-Berkeley dataset for robotic manipulation research

I. J. Robotics Res., Volume 36, Issue 3, 2017, Pages 261-268.

Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

In this paper, we present an image and model dataset of the real-life objects from the Yale-CMU-Berkeley Object Set, which is specifically designed for benchmarking in manipulation research. For each object, the dataset presents 600 high-resolution RGB images, 600 RGB-D images and five sets of textured three-dimensional geometric models. ...More

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