five

Optical coherence tomography image dataset of textile fabrics

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://data.mendeley.com/datasets/kddwp4k7ff
下载链接
链接失效反馈
官方服务:
资源简介:
Optical coherence tomography (OCT) images of textile fabrics were taken. The OCT scans of fabrics that consisted of solely wool, cotton or polyester were recorded. For each material type three different fabrics were measured with an OCT imaging system. In total 9 different fabrics (3 wool, 3 polyester and 3 cotton) were each scanned at least 120 times on separate places on their surface. The zip file contains all the images in separate folders. The folder Polyester2 contains OCT images of the second polyester fabric sample. To have roughly uniform data across samples, the scans were fixed at 2mm for each image and recorded in portable network graphics format. The fabric data were separated into three categories. Group 1, 2 and 3 consisted of fabrics made out of only cotton, wool and polyester, respectively. These can be utilized as the labeled dataset for the classes in the deep learning training. We make this labelled OCT fabric type data set public. Moreover this public data can be used to test existing machine learning algorithms. Automated material classification and recycling can be accomplished via these deep learning networks. The uploaded 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. The scans are raw OCT-B image files saved through the ThorImage software program of the Thorlabs OCT Imaging System. Note that no extra image processing or filtering was performed on the raw OCT images. Each OCT scan is a separate image, with the time and date of the scan stamped in the corresponding portable network graphics file name. The file in Folder Wool1 with name OCTImage 053324_07172020.png therefore corresponds to an OCT scan of the first wool fabric taken at 05:33:24 on July 17, 2020. Wool2 folder consists of OCT scans of only the second fabric woven from wool. Correspondingly; folders Cotton1, Cotton2 and Cotton3 consist of OCT scans of three separate fabrics that consisted of purely cotton fibres. Likewise; folders Polyester1, Polyester2 and Polyester3 consist of OCT scans of three separate fabrics that consisted of purely polyester.
创建时间:
2021-10-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作