Fashion Through Data - Studio Ghibli
June 2024 - July 2024
This project delves into a topic I'm particularly passionate about: the intersection of fashion and data science, inspired by the vibrant color palettes of Ghibli films.
I analyzed two of my favorite movies, "Howl’s Moving Castle" and "Nausicaa of the Valley of the Wind," to extract their most prominent colors and use these palettes to inspire fashion outfits.
My analysis involved segmenting the films, conducting frame-by-frame color analysis, and applying K-means clustering to refine the color sets. Initially, I faced some challenges with data storage while extracting frames from the films. However, I efficiently collected the necessary data by optimizing techniques such as reducing the frame extraction rate and using the Color Thief library to capture dominant colors.
The final outcome was a set of 15 representative colors for each film, which served as a foundation for designing visually appealing and thematically consistent fashion outfits.
I feel that this project beautifully demonstrates how data-driven approaches can be applied creatively in the world of fashion design, showcasing the seamless blend of art and technology.
Feel free to check out the detailed methodologies and code, available in the Jupyter notebooks on GitHub and the report!