How GenAIs build diverging color schemes
Briefly

The article explores how Generative AI systems, specifically Gemini and Copilot, can generate tailored diverging data color schemes incorporating Mocha Mousse, Pantone's Color of the Year. It highlights the process of creating such schemes, which involve combining two sequential color sequences with a neutral midpoint, emphasizing the importance of accessibility for color deficient individuals. While the systems produce slightly different outputs based on their initial color Hex codes, understanding Pantone's color harmonies is essential for effective application across diverse industries including fashion and digital media.
Generative AI systems can effectively create customized diverging color schemes, utilizing Pantone hues and ensuring accessibility for color deficient individuals.
The diverging color schemes are constructed by combining sequential color sequences with a neutral midpoint, suited for data displaying critical values.
Gemini and Copilot showcase slight differences in color scheme outputs, mainly due to their initial color Hex code selections based on Pantone's color harmonies.
Understanding the Pantone Color of the Year broadens the context for building effective data color visualizations across various industries, from fashion to digital media.
Read at Medium
[
|
]