A large dataset of synthetic SEM images of powder materials and their ground truth 3D structures

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 Blender, an open source computer graphics suite, 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.

本数据文章介绍了一套数据集，包含2048张粉末材料的合成扫描电子显微镜（SEM）图像，以及这些图像所表征的对应三维结构的描述。该数据集的图像均通过开源计算机图形套件Blender生成，且生成脚本随数据集一同提供。数据集涵盖8种粒径分布，每种分布对应256张独立图像。由于各粒径分布之间相对相似，该数据集可作为评估图像分析技术保真度的实用基准数据集。