Paper
25 May 2023 A clothing classification method based on residual network
Yan Qi, Lei Chu, Dawei Yang, Zipeng Yu
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126365E (2023) https://doi.org/10.1117/12.2675192
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
In view of the e-commerce platform merchants need to upload clothing labels to the system, but the manual labeling of clothing appeared cumbersome information error, error-prone and other problems, this paper proposes a ResNet50-DS clothing classification algorithm to automatically label by using machines, to complete the classification of clothing. Taking the residual network as the basic network structure, the SE-Net module is embedded in the model, and a dropout layer is added to reduce the generalization error of the model. The experiment shows that the clothing classification algorithm improves the accuracy of clothing classification, which can better help the e-commerce platform merchants to improve the efficiency of clothing classification, and effectively avoids the information error of manual annotation.
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Yan Qi, Lei Chu, Dawei Yang, and Zipeng Yu "A clothing classification method based on residual network", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126365E (25 May 2023); https://doi.org/10.1117/12.2675192
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KEYWORDS
Education and training

Image classification

Deep learning

Convolutional neural networks

Neural networks

Overfitting

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