The hair color try-ons kick off with a range of shades from L’Oréal brands, but will grow soon with the addition of Splat, Revlon and others. Consumers can sport the digital ‘dos themselves or check them out on models that share similar characteristics. Likewise for foundation.’s foundation-match tool, an experience that allowed users to choose from a library of 148 models representing a wide array of skin tones, ages, genders, face shapes, ethnicities and skin types.
Unfortunately for the search giant, $76.7 billion in revenue, a jump of 11 percent over last year, and ad revenue of almost $60 billion, a growth of 9 percent, were not enough to stop a major one-day plummet in shares. The stock dropped 9.8 percent, likely due to investors’ disappointment that artificial intelligence didn’t drive more explosive growth, particularly at Google Cloud, or pad Google’s projected operating margin.
“We partnered with hair-dye manufacturers to develop the rendering code for each shade,” explained Rincon, adding that the rendering code is what determines the hair color when AR is applied. “We also developed a custom ML model for this feature that focuses specifically on hair.” The ML model, which includes 10,000 data points of modern hairstyles, ensures that the AR tech can accurately identify hair in an image.
Rincon noted that in the last six months alone, the list has ballooned to include Pat McGrath, Cover Girl, Dior Beauty, Fenty Beauty, Laura Mercier, Makeup by Mario and many others. The company has also opened up to accept AR assets from a range of data providers, such as PulpoAR and Perfect Corp.
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