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TSFabrics:一个时间序列织物数据集,用于在圆形针织机上实时检测缺陷
Yan-Qin Ni1, Pei-Kai Huang2,3, Wei-Jen Wang1
1Department of Computer Science and Information Engineering, National Central University, Taoyuan City, Taiwan.
Scientific data
|February 7, 2026
概括
一个新的时间序列织物数据集 (TSfabrics) 捕捉了现实世界的工业变化,以改进织物缺陷检测. 这一数据集有助于开发连续生产线的模型.
科学领域:
- 材料科学 材料科学 材料科学
- 计算机视觉 计算机视觉
- 工业工程 工业工程 工业工程
背景情况:
- 现有的织物数据集缺乏现实世界的工业复杂性,使用孤立的,非时间序列图像.
- 这限制了用于连续制造的有效织物缺陷检测系统的开发.
研究的目的:
- 引入时间序列织物数据集 (TSfabrics) 以实现现实的织物缺陷检测.
- 提供高质量的数据集,反映连续的织物制造工艺.
主要方法:
- 在22个循环针织机的连续生产场景中收集了93,196张灰度图像.
- 多种多样的照明,生产速度和面料类型来模拟不同的工业条件.
- 包括无缺陷和缺陷样本的像素级注释,区分真实的缺陷和"切线".
主要成果:
- 与以前的数据集不同,TSfabrics捕捉了织物制造的连续性.
- 数据集涵盖了各种各样的织物缺陷类型.
- 标注准确地区分了缺陷与无缺陷的特征,如"切线".
结论:
- TSfabrics是推进实际织物缺陷检测的宝贵资源.
- 能够开发和评估适用于连续生产线的模型.
- 弥合了学术研究和织物质量控制中的工业应用之间的差距.
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