Washington-RGB-D is a testbed (RGB-D object dataset) widely used by the robotics community. The dataset contains 41,877 RGB-D images, consisting of 300 instances of 51 categories of common indoor objects (such as scissors, cereal boxes, keyboards, etc.). Each object instance is placed on a turntable and captured from three different angles while rotating.