![]() ![]() ![]() Improving skin tone representation in SearchĮvery day, millions of people search the web expecting to find images that reflect their specific needs. Here are other ways you’ll see this show up in Google products. For example, we use the scale to evaluate and improve the models that detect faces in images. The MST Scale will help us and the tech industry at large build more representative datasets so we can train and evaluate AI models for fairness, resulting in features and products that work better for everyone - of all skin tones. When not built and tested intentionally to include a broad range of skin-tones, computer vision systems have been found to not perform as well for people with darker skin. This is especially important for computer vision, a type of AI that allows computers to see and understand images. Updating our approach to skin tone can help us better understand representation in imagery, as well as evaluate whether a product or feature works well across a range of skin tones. Using the Monk Skin Tone Scale to improve Google products Our goal is for the scale to support inclusive products and research across the industry - we see this as a chance to share, learn and evolve our work with the help of others. ![]() We’re openly releasing the scale so anyone can use it for research and product development. Monk’s research is the Monk Skin Tone (MST) Scale, a 10-shade scale that will be incorporated into various Google products over the coming months. Monk has been studying how skin tone and colorism affect people’s lives for more than 10 years. Ellis Monk, we’re releasing a new skin tone scale designed to be more inclusive of the spectrum of skin tones we see in our society. In partnership with Harvard professor and sociologist Dr. ![]() Today, we're introducing a next step in our commitment to image equity and improving representation across our products. Last year, we announced Real Tone for Pixel, which is just one example of our efforts to improve representation of diverse skin tones across Google products. And we know that challenges with image-based technologies and representation on the web have historically left people of color feeling overlooked and misrepresented. Seeing yourself reflected in the world around you - in real life, media or online - is so important. ![]()
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