Facial age estimation
How accurate is facial age estimation?
“How accurate is it?” is the first question regulators, businesses and users tend to ask about facial age estimation. To date, we have mainly presented the technology’s Mean Absolute Error (MAE) as a proxy for accuracy. It’s an intuitive way to understand how accurate a model is. We can say it’s accurate to 1.3 MAE for those aged between 13 and 17 years or 2.5 MAE for those aged between 6 and 70 years. However, the answer is slightly more complicated. Following the COVID-19 pandemic, many people will be more aware of the terms ‘true positive’ and ‘false negative’
Facial age estimation: the facts
We developed facial age estimation to give everyone a secure and private way to prove their age, without sharing their name or any identity documents. We also wanted to address the inclusion issue, given not everyone has an ID – which can exclude them from accessing age-restricted goods, services and experiences. The technology can determine a person’s age from a facial image. We believe this is a better way to check someone’s age. People shouldn’t have to share their whole identity just to prove their age. We work hard to explain facial age estimation and how it works. Unfortunately,
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