@article{ART003048085},
author={Minsun Yeu and Do Hyeok Yoo and SuJin Bak},
title={Fashion Category Oversampling Automation System},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={1},
pages={31-40},
doi={10.9708/jksci.2024.29.01.031}
TY - JOUR
AU - Minsun Yeu
AU - Do Hyeok Yoo
AU - SuJin Bak
TI - Fashion Category Oversampling Automation System
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 1
PB - The Korean Society Of Computer And Information
SP - 31
EP - 40
SN - 1598-849X
AB - In the realm of domestic online fashion platform industry the manual registration of product information by individual business owners leads to inconvenience and reliability issues, especially when dealing with simultaneous registrations of numerous product groups. Moreover, bias is significantly heightened due to the low quality of product images and an imbalance in data quantity. Therefore, this study proposes a ResNet50 model aimed at minimizing data bias through oversampling techniques and conducting multiple classifications for 13 fashion categories. Transfer learning is employed to optimize resource utilization and reduce prolonged learning times. The results indicate improved discrimination of up to 33.4% for data augmentation in classes with insufficient data compared to the basic convolution neural network (CNN) model. The reliability of all outcomes is underscored by precision and affirmed by the recall curve. This study is suggested to advance the development of the domestic online fashion platform industry to a higher echelon.
KW - CNN;Deep learning;Oversampling;ResNet50;YOLOv8;Fashion category
DO - 10.9708/jksci.2024.29.01.031
ER -
Minsun Yeu, Do Hyeok Yoo and SuJin Bak. (2024). Fashion Category Oversampling Automation System. Journal of The Korea Society of Computer and Information, 29(1), 31-40.
Minsun Yeu, Do Hyeok Yoo and SuJin Bak. 2024, "Fashion Category Oversampling Automation System", Journal of The Korea Society of Computer and Information, vol.29, no.1 pp.31-40. Available from: doi:10.9708/jksci.2024.29.01.031
Minsun Yeu, Do Hyeok Yoo, SuJin Bak "Fashion Category Oversampling Automation System" Journal of The Korea Society of Computer and Information 29.1 pp.31-40 (2024) : 31.
Minsun Yeu, Do Hyeok Yoo, SuJin Bak. Fashion Category Oversampling Automation System. 2024; 29(1), 31-40. Available from: doi:10.9708/jksci.2024.29.01.031
Minsun Yeu, Do Hyeok Yoo and SuJin Bak. "Fashion Category Oversampling Automation System" Journal of The Korea Society of Computer and Information 29, no.1 (2024) : 31-40.doi: 10.9708/jksci.2024.29.01.031
Minsun Yeu; Do Hyeok Yoo; SuJin Bak. Fashion Category Oversampling Automation System. Journal of The Korea Society of Computer and Information, 29(1), 31-40. doi: 10.9708/jksci.2024.29.01.031
Minsun Yeu; Do Hyeok Yoo; SuJin Bak. Fashion Category Oversampling Automation System. Journal of The Korea Society of Computer and Information. 2024; 29(1) 31-40. doi: 10.9708/jksci.2024.29.01.031
Minsun Yeu, Do Hyeok Yoo, SuJin Bak. Fashion Category Oversampling Automation System. 2024; 29(1), 31-40. Available from: doi:10.9708/jksci.2024.29.01.031
Minsun Yeu, Do Hyeok Yoo and SuJin Bak. "Fashion Category Oversampling Automation System" Journal of The Korea Society of Computer and Information 29, no.1 (2024) : 31-40.doi: 10.9708/jksci.2024.29.01.031
