Data Art and Fashion

Cube: Fashion Takes Shape

Giving shape to the digital footprint of luxury fashion through machine learning and web visualization.

Client Google
Year 2022
Role Data visualization, machine learning, and WebGL system
Medium NLP, neural networks, shaders, WebGL

Challenge

The work needed to visualize 10 million data points representing the digital footprint of more than 1,200 luxury and fashion brands.

Solution

The system used neural networks for natural language processing, custom shaders, and a web-based visualization pipeline that could make complex fashion data accessible and visually compelling.

Outcome

The work showcased the intersection of AI, data visualization, and fashion at scale, proving that complex machine-learning visualizations can become an accessible interactive experience.

Gallery