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Identifying Fashion Trends Utilizing Color Analysis

Hehjun Lim

Albert Dorman Honors College

Adam Spryszynski

Department of Informatics

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Problem Statement and Goals

  • Problem Statement:

What are some fashion trends that are prominent today?

 

  • Project Goals:

Utilizing images of clothing online to provide insight to consumer behavior, cultural influences, and market dynamics.

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Need and Significance

  • Fashion designers, retailers, and industry professionals can learn about the preferences and choices of consumers to cater their business and services to them.

  • Individuals can quickly identify popular trends as inspiration for their personal style.

  • Finding a technology solution will simplify the process fashion trend analysis.

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Background

  • Color plays a significant role in fashion product development and design.

  • Companies have taken advantage of technology to quickly spread fashion trends and market their products.

  • Previous Research:
    • Distinguishing clothing items in images through machine learning.
    • Retrieving and grouping items of clothing that have similar characteristics

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Research Approach and Methods

Removal of background for all images

Perform color analysis and collect data into a dataframe using Python and Jupyter Notebook.

Analyze recorded data and create visualizations.

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All Colors

&

Original

All Colors

& Processed

Dominant Colors

&

Original

Dominant Colors

&

Processed

Sample of Results

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Innovation, Discussion and Future Work

  • Bridging the gap between data-driven analysis and the ever-evolving world of fashion.

  • Diversity and creativity of fashion is exemplified by utilizing photos created and posted by individuals from various backgrounds.

  • Promotes inclusivity by demonstrating that professionally taken photos are not necessary for determining future clothing trends or patterns.

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Future Works

    • Scraping images from multiple social media platforms to perform fashion trend analysis specifically on images posted by content creators.

    • Innovate methodologies on studying and analyzing streetwear fashion beyond color analysis.

    • Focus on creating more relevant fashion databases to enhance applicability of future research.

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Acknowledgment

I would like to thank Adam Spryszynski for supervising this research project.

I would also like to thank the Albert Dorman Honors College for sponsoring this project.