Overview

TCCI dataset was collected by the Visual Intelligence and Pattern Analysis (VIPA) group of Zhejiang University. It was designed to facilitate research on image-based fiber identification.

The dataset comprises detailed labeling information, including textile categories and composition ratios. In total, 280 textile categories and 68 fiber classes have been cataloged. The distribution of textiles in the dataset is as follows: 2.17% represent single-component textiles, 35.62% as two-component textiles, 53.18% as three-component textiles, 7.36% as four-component textiles, and 1.67% as textiles with other component configurations. Notably, the minimum composition ratio for any component in a four-component textile typically falls below 5%.

Downloads

TCCI dataset is public to universities and research institutes for research purpose only. Before using TCCI dataset, you are recommended to refer to the following paper:

Zunlei Feng, Weixin Liang, Daocheng Tao, Li Sun, Anxiang Zeng, Mingli Song. CU-Net: Component unmixing network for textile fiber identification. International Journal of Computer Vision, 2019.

Download Link: https://pan.baidu.com/s/1BvVfhaP77MEOCTkUQMkTHw?pwd=scev (Extraction code: scev)