Skin color represents who you are. It's one of the things most people experience. Although it may not sound important, it can be said that many people feel excluded because of their skin color Many times, the camera that takes the image cannot capture the skin color correctly, and Google is looking to change this situation. Last year, Google announced real tone for pixel, which is just an example of the company's efforts in this regard
Today, Google decided to introduce a new step in its commitment to "image equity" and improve the representativeness of all its products. Google has partnered with Dr. Ellis Munk, a professional and sociologist at Harvard University, and the company is releasing a new skin color scale designed to be more inclusive of the various skin colors we see in our daily lives.
The Munk skin tone scale will completely change the expression of different skin tones, thanks to Google. It is designed to have an easy-to-use technology development and evaluation. Google calls it the Munk screen tone scale. You can see it below:
Updating our treatment of skin color can help us better understand the performance in the image and evaluate whether a product or function works well in a range of skin colors. This is particularly important for computer vision, which is an artificial intelligence that allows computers to see and understand images. If not deliberately built and tested to include a wide range of skin colors, computer vision systems will be found to not perform well enough for people with dark skin.
Google said that quantifying skin color will help us and the entire technology industry build a more representative data set so that we can train and evaluate the fairness of artificial intelligence models to produce functions and products that are more effective for everyone - all skin colors. For example, we use this scale to evaluate and improve the model of detecting faces in images.
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