Research on Fabric Defect Detection Algorithm Based on Lightweight YOLOv7-Tiny

Tang Lia Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, ChinaView further author information

Mei Shunqia Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, China;b The Advanced Textile Technology Innovation Center (Jianhu Laboratory), Shaoxing, China;c Zhejiang Tianxiong Industrial Technology Co. Ltd, Xinchang County, Shaoxing, Zhejiang, ChinaCorrespondence[email protected]
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Shi Yishana Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, ChinaView further author information

Zhou Shia Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, ChinaView further author information

Zheng Quana Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, China;b The Advanced Textile Technology Innovation Center (Jianhu Laboratory), Shaoxing, ChinaView further author information

Hongkai Jiangd The Chinese University of Hongkong, Shenzhen, ChinaView further author information

Xu Qiaoa Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, ChinaView further author information

Zhang Zhiminga Hubei Digital Textile Equipment Key Laboratory, Wuhan Textile University, Wuhan, ChinaView further author information

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Research on Fabric Defect Detection Algorithm Based on Lightweight YOLOv7-Tiny

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Research on Fabric Defect Detection Algorithm Based on Lightweight YOLOv7-Tiny

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