Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
Clothing classification using cnn and shopping mall search system
- Issue Date
- Aug-2020
- Publisher
- ICIC International
- Keywords
- Clothing classification; CNN; Image classification; K-means clustering; VGGNet
- Citation
- ICIC Express Letters, Part B: Applications, v.11, no.8, pp 773 - 780
- Pages
- 8
- Journal Title
- ICIC Express Letters, Part B: Applications
- Volume
- 11
- Number
- 8
- Start Page
- 773
- End Page
- 780
- ISSN
- 2185-2766
- Abstract
- This study proposes a system that provides image-based clothing information services in the fashion online market environment among various service industries. This system learns data from CNN and creates a clothing classification system through SAREKnet and VGGNet model. Then, the color was found through k-means and the results were designed to be searched in the shopping mall. Unlike previous studies, we propose the method of using both image search and text search, to increase accuracy. In the future, it is necessary to study through the method of searching for whole-outfit, the method of deriving more class, and the algorithm that can automatically find clothes. © 2020, ICIC International. All rights reserved.
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.