Google: Google Photos gets real tone filters: what are they and how do they work

New Delhi: Google announced real tone filter At the 2022 edition of its annual developers conference, I/O 2022. These filters are designed to work across skin tones. In 2021, Google announced Real Tone for the Pixel, this year it has expanded them to more Google products. “Today, we are presenting a next step in our commitment to Image Equity and improving representation in our products,” the company said in an announcement at I/O.
Google announced the Real Tone filter in partnership with Harvard professor and sociologist Dr. Alice Monk. The company has created the Monk Skin Tone (MST) Scale, a 10-shade scale that the company says is the culmination of Dr. Monk’s research in the field. Named after Monk, the MST scale is made up of 10 colors, a number the company says is chosen so as not to be too restrictive, but also not to be too complicated. These skin tones can be applied to machine learning models for a variety of computer vision projects.
what are these real tone filters
real tone filters are coming google photos This means users can choose from a variety of looks/skin color tones and choose the one that reflects their style. These filters are coming to Google Photos across Android, Apple iOS and Web. This means that these filters will now work on photos taken on devices other than Google’s Pixel phones, including the iPhone. These Real Tone filters can also adjust photos that users have taken before to better reflect their skin tone.

Apart from Google Photos, the company is also offering advanced support for skin tones through Google Search. When a user searches for images, such as “bridal makeup looks,” Google Search will automatically show a handful of tone options on applicable searches.
How is Google using the MST scale
Google says it is using the MST scale to evaluate how well ML (machine learning) models perform at detecting people’s faces within images, across skin tones. The company also says that it has developed some best practices along the way. Teams within Google are said to be incorporating skin tone fairness analysis throughout the product development cycle, including ML modeling.

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