TSFabrics: A Time-Series Fabric Dataset for Real-Time Defect Detection on Circular Knitting Machines

Read full text
Authors: Yan-Qin Ni, Pei-Kai Huang, Wei-Jen Wang, Deron Liang, Chia-Yu Lin
Cited by: 1

Abstract

To support fabric defect detection in real-world industrial environments, we present a high-quality Time-Series fabric dataset (TSfabrics). By capturing time-series fabric images, TSfabrics reflects the continuous and complex nature of actual fabric manufacturing on circular knitting machines. TSfabrics encompasses 22 continuous fabric production scenarios and consists of 93196 grayscale fabric images collected under diverse production conditions, including different illuminations, production speeds, and fabric types. In addition, TSfabrics contains defect-free and defective samples, with pixel-level annotations that differentiate true defects from production-related "cut lines'' found in defect-free fabric images. Meanwhile, TSfabrics covers a wide range of fabric defect types.

Publication details

Journal / source
Figshare
Publication date
17 March 2026
Document type
Dataset