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Analysis of Clothing Image Classification Models: A Comparison Study between Traditional Machine Learning and Deep Learning Models Cover

Analysis of Clothing Image Classification Models: A Comparison Study between Traditional Machine Learning and Deep Learning Models

Fibres & Textiles in Eastern Europe
Volume 30 (2022): Issue 5 (October 2022)
By: Jun Xu,  Yumeng Wei,  Aichun Wang,  Heng Zhao and  Damien Lefloch  
Open Access
|Dec 2022
Authors

Authors

Jun Xu

Tiangong University, Tianjin, China

Yumeng Wei

Tiangong University, Tianjin, China

Aichun Wang

Tiangong University, Tianjin, China

Heng Zhao

15186958102@163.com

Shenzhen Technology University, Shenzhen, China

Damien Lefloch

prof.d.le.floch@gmail.com

Tiangong University, Tianjin, China
DOI: https://doi.org/10.2478/ftee-2022-0046 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666
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Language: English
Page range: 66 - 78
Published on: Dec 22, 2022
Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
E-commerce,
clothing image classification,
traditional machine learning,
CNN,
HOG+SVM,
small VGG network
Related subjects:
Business and economics,
Business management,
Business informatics,
Process management,
Industrial chemistry,
Cellulose, paper and textiles,
Polymer science and technology,
Materials sciences,
Biomaterials and natural materials

© 2022 Jun Xu, Yumeng Wei, Aichun Wang, Heng Zhao, Damien Lefloch, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 30 (2022): Issue 5 (October 2022)
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