Dataset of Synthetic X-ray Scattering Images for Classification Using Deep Learning

Kevin G. Yager, Julien Lhermitte, Dantong Yu, Boyu Wang, Ziqiao Guan & Jiliang Liu
This dataset contains a large number of example x-ray scattering images; each image is tagged with a variety of attributes describing the data features appearing in the image ('rings', 'anisotropic', etc.) or describing the underlying material ('BCC', 'FCC', etc.). The main purpose of this dataset is as a training set for machine-learning methods. The images were generated synthetically, using a combination of ad hoc methods (e.g. superimposing features such as rings and halos) and simple...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.