Electrical Engineering and Systems Science > Image and Video Processing
[Submitted on 15 Nov 2019
]
Title: A Molecular-MNIST Dataset for Machine Learning Study on Diffraction Imaging and Microscopy
Title: 用于衍射成像和显微镜机器学习研究的分子-MNIST数据集
Abstract: 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.
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