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.

Dataset Files

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[1] Bangxiong Yin, Zhong Xiang, "FabricDefect", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/q89h-b939. Accessed: Oct. 06, 2024.
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doi = {10.21227/q89h-b939},
url = {http://dx.doi.org/10.21227/q89h-b939},
author = {Bangxiong Yin; Zhong Xiang },
publisher = {IEEE Dataport},
title = {FabricDefect},
year = {2024} }
TY - DATA
T1 - FabricDefect
AU - Bangxiong Yin; Zhong Xiang
PY - 2024
PB - IEEE Dataport
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Bangxiong Yin, Zhong Xiang. (2024). FabricDefect. IEEE Dataport. http://dx.doi.org/10.21227/q89h-b939
Bangxiong Yin, Zhong Xiang, 2024. FabricDefect. Available at: http://dx.doi.org/10.21227/q89h-b939.
Bangxiong Yin, Zhong Xiang. (2024). "FabricDefect." Web.
1. Bangxiong Yin, Zhong Xiang. FabricDefect [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/q89h-b939
Bangxiong Yin, Zhong Xiang. "FabricDefect." doi: 10.21227/q89h-b939