TY - GEN
T1 - Image classification of fine-grained fashion image based on style using pre-trained convolutional neural network
AU - Seo, Yian
AU - Shin, Kyung Shik
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/25
Y1 - 2018/5/25
N2 - Deep learning has emerged as a new methodology with continuous interests in artificial intelligence, and it can be applied in various business fields for better performance. In fashion business, deep learning, especially Convolutional Neural Network (CNN), is used in classification of apparel image. However, apparel classification can be difficult due to various apparel categories and lack of labeled image data for each category. Therefore, we propose to pre-train the GoogLeNet architecture on ImageNet dataset and fine-tune on our fine-grained fashion dataset based on design attributes. This will complement the small size of dataset and reduce the training time. After 10-fold experiments, the average final test accuracy results 62%.
AB - Deep learning has emerged as a new methodology with continuous interests in artificial intelligence, and it can be applied in various business fields for better performance. In fashion business, deep learning, especially Convolutional Neural Network (CNN), is used in classification of apparel image. However, apparel classification can be difficult due to various apparel categories and lack of labeled image data for each category. Therefore, we propose to pre-train the GoogLeNet architecture on ImageNet dataset and fine-tune on our fine-grained fashion dataset based on design attributes. This will complement the small size of dataset and reduce the training time. After 10-fold experiments, the average final test accuracy results 62%.
KW - Convolutional Neural Network
KW - fashion image
KW - fine-grained classification
KW - pre-trained network
UR - http://www.scopus.com/inward/record.url?scp=85048490367&partnerID=8YFLogxK
U2 - 10.1109/ICBDA.2018.8367713
DO - 10.1109/ICBDA.2018.8367713
M3 - Conference contribution
AN - SCOPUS:85048490367
T3 - 2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018
SP - 387
EP - 390
BT - 2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 March 2018 through 12 March 2018
ER -