CNN-based hot-rolled steel strip surface defects classification: a comparative study between different pre-trained CNN models
Abdelmalek Bouguettaya,
Hafed Zarzour
Abstract:During the manufacturing process, hot-rolled steel strip surface defects occur frequently. These defects cause economic losses and risks in the use of these products. Therefore, it is crucial to develop automatic inspection systems to identify these defects. In the last few years, computer vision has emerged as an effective tool to identify these defects. Deep learning-based computer vision techniques, especially Convolutional Neural Networks (CNN), achieved state-of-the-art results for most computer vision ta… Show more
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