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from the the-default-SN-color-is-pretty-close-to-Grass-Bat dept.
So if you've ever picked out paint, you know that every infinitesimally different shade of blue, beige, and gray has its own descriptive, attractive name. Tuscan sunrise, blushing pear, Tradewind, etc... There are in fact people who invent these names for a living. But given that the human eye can see millions of distinct colors, sooner or later we're going to run out of good names. Can AI help?
For this experiment, I gave the neural network a list of about 7,700 Sherwin-Williams paint colors along with their RGB values. (RGB = red, green, and blue color values) Could the neural network learn to invent new paint colors and give them attractive names?
The answer, not surprisingly, is no. But some of them are hilarious. My own personal favorites are Gray Pubic (close to aqua blue), Clardic Fug (brownish green), and Stanky Bean (inexplicably a rather nice dusty rose).
http://lewisandquark.tumblr.com/post/160776374467/new-paint-colors-invented-by-neural-network
-- submitted from IRC
(Score: 2) by JoeMerchant on Monday May 22 2017, @04:41PM
First, yeah, what he said.
Second, about perceiving 8 bit color differences: Yes, the eye can do it, easily, but only if the monitor renders it. Lots of consumer level LCD monitors only display 6 bits of color, especially in blue and red channels.
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