Automated Fashion Clothing Image Labeling System

Author:

Lim Jun-Oh,Choi Woo-Jin,Choi Bong-Jun

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Jung, J.S.: Domestic fashion market in 2022 records a 5.2% increase, surpassing 45.8 trillion won, marking two consecutive years of growth. ktnews. https://www.ktnews.com/news/articleView.html?idxno=126297. Last accessed 1 Sep 2023

2. Jung, J.S.: Statistics Korea reports 9.2% growth in online fashion transaction volume, reaching 49.7192 trillion won. Ktnews. https://www.ktnews.com/news/articleView.html?idxno=122454. Last accessed 1 Sep 2023

3. Han, S.Y., Cho, Y.J., Lee, Y.R.: The effect of the fashion product classification method in online shopping sites. J. Korean Soc. Cloth. Text. 40(2), 287–304 (2016)

4. Amazon. https://aws.amazon.com/ko/blogs/korea/develop-an-automatic-review-image-inspection-service-with-amazon-sagemaker/. Last accessed 31 Aug 2023

5. An, H.S., Kwon, S.H., Park, M.J.: A case study on the recommendation services for customized fashion styles based on artificial intelligence. J. Korean Soc. Cloth. Text. 43(3), 349–360 (2019)

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