OCT images of cotton, polyester and wool based fabrics to train and test deep learning algorithms for automated material classification

The data consists of raw OCT images, all in portable network graphics format in 9 separate folders. Each folder contains OCT scans taken from random places over one of the fabrics only. Therefore folders Wool1, Wool2 and Wool3 each consist of OCT scans of three separate fabrics that consisted of purely wool fibres. Similarly folders Cotton1, Cotton2 and Cotton3 consist of OCT scans of three separate fabrics that consisted of purely cotton fibres. Again folders Polyester1, Polyester2 and Polyester3 consist of OCT scans of three separate fabrics that consisted of purely polyester. 2-D mode of the ThorImage OCT software was switched on to take OCT- B images of the fabrics with the Thorlabs CAL110C1 device with a 2mm fixed scan length Each OCT scan is a separate image, with the time and date of the scan stamped in the corresponding portable network graphics file. The file in Folder Cotton1 with name OCTImage 045631_07172020.png therefore corresponds to an OCT scan of a cotton fabric taken at 04:56:31 on July 17, 2020.