Machine learning generates rules by learning data; therefore, the reliability of the training data is one of the important factors of learning accuracy. In the field of fashion, it is important to ...

A form attribute classification system for fashion items

Types of creativity—Fostering multiple intelligences in design convergence talents

Accurate and versatile image data-sets are essential for fashion AI research and AI-based fashion businesses based on a systematic attribute classification system. This study constructs a color and texture attribute hierarchical classification system by collecting fashion item images and analyzing the metadata of fashion items described by consumers. Essential dimensions to explain color and texture attributes were extracted; in addition, attribute values for each dimension were constructed based on metadata and previous studies. This hierarchical classification system satisfies consistency, exclusiveness, inclusiveness, and flexibility. The image tagging to confirm the usefulness of the proposed classification system indicated that the contents of attributes of the same image differ depending on the annotator that require a clear standard for distinguishing differences between the properties. This classification system will improve the reliability of the training data for machine learning, by providing standardized criteria for tasks such as tagging and annotating of fashion items.

http://koreascience.kr:80/article/JAKO202020941339013.pdf

Color & Texture Attribute Classification System of Fashion Item Image for Standardizing Learning Data in Fashion AI

본 연구는 디자인학의 독자적이며, 동시에 통합적 성격에 대한 이해를 바탕으로, 디자인을 학문적 영역으로 구축하여 발전시키는 기반을 다지기 위해, 주요 학문분류표에서 디자인의 분류현황을 파악하고 분석과정을 거쳐, 디자인연구를 위한 정보분류체계의 기본구조를 모형화하는 것을 목적으로 한다. 연구방법은 문헌연구방법과 사례연구방법으로 진행하였다. 먼저 분류체계의 이론을 고찰하여 분석항목을 도출하였고, 디자인연구 분류에 대한 국내와 해외의 선행연구들을 종합하여 비교하였다. 다음으로, 학문분류표에서 디자인 전개 현황을 파악하고 분류체계와 분류군 별로 분석한 뒤, 실제 연구결과를 분류하고 검색할 때 어떻게 활용되는지 종합적으로 분석하였다. 이를 통해 최종적으로 디자인연구 분류체계의 원칙과 기본구조를 설정하여 이를 모형화하였다. 본 논문에서는 디자인 연구 분류체계의 기본원칙을 세 가지로 설정하였다. 첫째는 위계적인 계층구조를 최소화해야 하며, 둘째는 디자인연구의 다양한 주제들을 통합적으로 연계시킬 수 있는 구조를 지녀야 되고, 마지막으로, 이러한 연계구조를 표시할 수 있는 표기방식이 도입되야 한다는 것이다. 이 원칙에 따라, 본 연구에서는 디자인연구 분류체계의 기본구조를 분류이론의 다차원 구조화와 작성표시에 분석합성식의 패싯분류를 도입하여 모형화하였다

통합적 디자인 연구를 위한 디자인 정보분류체계 제안

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통합적 디자인 연구를 위한 디자인 정보분류체계 제안