  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.
