Lawrence Berkeley National Laboratory
A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy
- Author(s): Zhang, Yan
- Farrell, Steve
- Crowley, Michael
- Makowski, Lee
- Deslippe, Jack
- et al.
An image dataset of 10 different size molecules, where each molecule has 2,000 structural variants, is generated from the 2D cross-sectional projection of Molecular Dynamics trajectories. The purpose of this dataset is to provide a benchmark dataset for the increasing need of machine learning, deep learning and image processing on the study of scattering, imaging and microscopy.