FabricDefect

We introduce a new image dataset named FabricDefect, which focuses on the warp and weft defects of cotton fabric. The images in the FabricDefect dataset were manually collected by several experienced fabric inspectors using a high-definition image acquisition system set up on an industrial fabric inspection machine. The sample collection process lasted for three months, with daily sampling from 6 a.m. to 8 p.m., covering various weather conditions and external lighting scenarios. All images were meticulously gathered according to predefined standards. The dataset includes fabrics of different models, each with distinct texture characteristics. The collected defect images encompass defects in fabrics with diverse textures, ensuring the data's diversity and representativeness. Specifically, it consists of 4,927 high-resolution images, all with a resolution of 1920x1080 in PNG format. It encompasses five types of warp and weft defects: BrokenEnd, Misdraw, Reediness, ThickPlace, ThinPlace, and two types of normal defects: Hole and CottonBall.