And the secret sauce behind this feature is going open-source.
In creating Real Tone Processing for the Pixel 6, Google tried to give people of color a camera treatment that wasn’t based on nearly two centuries of white-focused photography. But it’s not enough for just one device to have this kind of approach to imaging, so at Google I/O 2022, the company is pushing it to Google Photos and open-sourcing the engine behind the magic.
Later this month, Real Tone will be available to Google Photos users as a filter — designed by “a diverse range of well-known image makers” known for their accuracy — that they can use for all skin types. Can be applied to all types of photos taken in tone. , Those looking for shades to complement their warm or cool look should be excited to test them out.
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“Monk Skin Tone Scale” by Dr. Alice Monk, provided by Google LLC under a Creative Commons Attribution 4.0 International license.
In addition, Google has created the Monk Skin Tone Scale, which the company uses to evaluate its color adjustment decisions against open source ones. The scale comprises ten tones, is named after Dr. Alice Monk, an associate professor of sociology at Harvard University, and can be applied to machine learning models for all kinds of computer vision projects. Color values are available in HEX, RGB, HSL, CIE-LAB and CIE-LCH.
The company is prompting researchers to follow a list of recommended practices while they conduct their experiments, including ensuring that subjects reflect the totality of scale, interoperability when analyzing data. There are factors to be considered, and that skin tone doesn’t equal race.
The MST scale will be updated over time and those using it are not required to adhere to the strict color values listed, but the main idea here is to start with a more accurate basis to understand what we mean by skin tone. What do you understand and what does it have to do with it?
More than 20 Google apps are getting tablet-centric updates
About the Author
Jules Wang (1352 articles published)
Jules joined the Android Police team in 2019. Before that, he was in Pocketnow. He loves public transportation, podcasts, and people in general. He also likes to take ideas from the big picture in technology about how people are drawn to how it’s used in every other industry.
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