Which triad do you prefer? DeepSeek perceptual or traditional RGB

"My next step in exploring the capabilities of Gen AIs to produce perceptional uniform color triads that pass color deficiency was to examine results from DeepSeek. I previously explored Claude and ChatGPT efforts. A color space is perceptually uniform if a change of length in any direction X of the color space is perceived by a human as the same change. Non-uniform perceptual color spaces like RGB and RYB can have stark contrasts when transitioning from one hue to another hue."

"In data visualization, these contrasts can be mistaken as changes in the data rather than as transitions in the color palette. As a result, many data visualization practitioners prefer to work in the perceptual uniform CIE LAB or Hue Chroma Luminance (HCL) color spaces. Unfortunately, these color spaces have irregularly shaped geometries resulting in challenges to calculate color combinations that also pass color deficiency. Gen AI systems, like DeepSeek, can help to quickly locate these perceptual uniform color schemes for data visualization."

Perceptually uniform color spaces provide equal perceived change for equal numerical changes in any direction, reducing misleading visual contrasts caused by non-uniform spaces like RGB or RYB. Non-uniform palettes can make hue transitions appear as data changes and thus misrepresent information. Many practitioners prefer CIE LAB or HCL for accurate color representation in data visualization. These perceptual spaces have irregular geometries that complicate finding triads that remain distinct under color deficiency. Generative AI systems such as DeepSeek can rapidly search for perceptually uniform triads that satisfy color-deficiency constraints for visualization use.

Read at Medium