دورية أكاديمية

Conceptual framework of hybrid style in fashion image datasets for machine learning

التفاصيل البيبلوغرافية
العنوان: Conceptual framework of hybrid style in fashion image datasets for machine learning
المؤلفون: Hyosun An, Kyo Young Lee, Yerim Choi, Minjung Park
المصدر: Fashion and Textiles, Vol 10, Iss 1, Pp 1-18 (2023)
بيانات النشر: SpringerOpen, 2023.
سنة النشر: 2023
المجموعة: LCC:Textile bleaching, dyeing, printing, etc.
LCC:Social Sciences
مصطلحات موضوعية: Fashion image, Hybrid style, Machine learning, K-fashion, Supervised learning datasets, Textile bleaching, dyeing, printing, etc., TP890-933, Social Sciences
الوصف: Abstract Fashion image datasets, in which each fashion image has a label indicating its design attributes and styles, have contributed to the achievement of various machine learning techniques in the fashion industry. Computer vision studies have investigated labeling categories (such as fashion items, colors, materials, details, and styles) to create fashion image datasets for supervised learning. Although a considerable number of fashion image datasets has been developed, different style classification criteria exist because of a lack of understanding concerning fashion style. Since fashion styles reflect various design attributes, multiple styles can often be included in a single outfit. Thus, this study aims to build a Hybrid Style Framework to develop a fashion image dataset that can be efficiently applied to supervised learning. We conducted focus group interviews with six fashion experts to determine fashion style categories with which to classify hybrid styles in fashion images. We developed 1,206,931K-fashion image datasets and analyzed the hybrid style convergence. Finally, we applied the datasets to the machine learning model and verified the accuracy of the computer’s ability to recognize style. Overall, this study concludes that the Hybrid Style Framework and developed K-fashion image datasets are helpful, as they can be applied to data-driven fashion services to offer personalized fashion design solutions.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2198-0802
Relation: https://doaj.org/toc/2198-0802
DOI: 10.1186/s40691-023-00338-8
URL الوصول: https://doaj.org/article/725d5a66abf5496abc4f75387e82405b
رقم الأكسشن: edsdoj.725d5a66abf5496abc4f75387e82405b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:21980802
DOI:10.1186/s40691-023-00338-8