This data article presents a data set comprised of 2048 synthetic
scanning electron microscope (SEM) images of powder materials
and descriptions of the corresponding 3D structures that they
represent. These images were created using open source rendering
software, and the generating scripts are included with the
data set. Eight particle size distributions are represented with 256
independent images from each. The particle size distributions are
relatively similar to each other, so that the dataset offers a useful
benchmark to assess the fidelity of image analysis techniques. The
characteristics of the PSDs and the resulting images are described
and analyzed in more detail in the research article “Characterizing
powder materials using keypoint-based computer vision
methods”