Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry

TL;DR

This paper surveys AI applications in the fashion industry, categorizing over 580 studies into tasks, analyzing progress over time, and providing datasets and research directions to advance the field.

Contribution

It offers a comprehensive, structured review of AI in fashion, including task categorization, progress analysis, and dataset compilation, aiding future research.

Findings

Over 580 articles categorized into 22 tasks

Progress analysis through time charts for each task

List of 86 public fashion datasets

Abstract

The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years. Furthermore, we provide a list of 86 public fashion datasets accompanied by a list of suggested applications and additional information for each.