Image-based Data on Strain Fields of Microstructures with Porosity Defects_3

This is a part of supplementary data for the Data in Brief article co-submitted alongside the aforementioned paper in Computational Material Science Journal. The data file is a MATLAB Binary Data Compressed file (.mat) that contains images of microstructures and their respective strain fields represented as two-dimensional arrays.

This data is utilized for training a convolutional neural network to predict strain fields within a microstructure, through image colorization algorithm. This dataset contains six sub-folders each having two datasets (500 samples and 50 samples) of microstructures with porosity defects of six unique shapes described in the aforementioned research article along with their strain fields.