Training data for 'Segmenteverygrain'

Data source language:

• English

Data reference:

Contributors of raw data:

• Sylvester, Zoltan

Data description:

• This folder contains 48 images of grains and the corresponding segmentation masks that form the majority of the images that were used to train the U-Net model that the 'Segmenteverygrain' Python package is based on. The images have filenames that terminate in '_image.png'; the mask filenames terminate in '_mask.png'. The mask rasters only contain three values: 0 for background, 1 for the grain itself, and 2 for the grain boundary.

Keywords and subjects:

• grain images, segmentation

Download link:

• https://zenodo.org/records/15786086

Availability:

• publicly accessible