A Construction of Classification System for Encouragement to Recycle Used Clothes.

Abstract

The fashion industry is often cited as the world's second-largest polluting sector, necessitating the development of systems for clothing reuse. This study aims to construct a system capable of determining the reusability of clothing items based on images. The judgment system utilizes classification models from machine learning, with parameters set through 5-fold cross-validation. Experimental results demonstrated that a model fine-tuned using Vision Transformer (ViT) achieved an F1 score of 0.98. Consequently, this establishes a method for straightforwardly determining clothing reusability from pictures.