An experimental investigation of MobileNet SSD on fabric defect detection
Fabric defect detection plays a crucial role in ensuring product quality in textile manufacturing. This study presents an investigation into improving fabric defect detection using MobileNetV2 SSD as the baseline model and exploring various existing methods to further enhance performance. The pro...
Main Author: | Zhou, Wei |
---|---|
Other Authors: | Zheng Jianmin |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/175198 |
Similar Items
-
Deep learning for fabric defect detection
by: Nangia, Saniya
Published: (2024) -
Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity
by: Hung, Tzu-Yi, et al.
Published: (2017) -
Deep learning based solder joint defect detection on industrial printed circuit board X-ray images
by: Zhang, Qianru, et al.
Published: (2023) -
Experimental demonstration of a band-notched line-defect waveguide in a surface-wave photonic crystal
by: Xu, Hongyi, et al.
Published: (2017) -
The practically of appointing third party in the rectification of defective works /
by: Diana Rosniza Roslan, 1978-, author 612140, et al.
Published: (2017)