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Facial age estimation is the use of artificial intelligence to estimate the age of a person based on their facial features. Computer vision techniques are used to analyse the facial features in the images of millions of people whose age is known and then deep learning is used to create an algorithm that tries to predict the age of an unknown person. [1]
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FaceApp was launched on iOS in January 2017 and on Android in February 2017. [4] [5] There are multiple options to manipulate the photo uploaded such as editor options of adding an impression, make-up, smiles, hair colors, hairstyles, glasses, age or beards.
Wrinkles on the face and hands are a typical sign of aging A wrinkle , also known as a rhytid , is a fold, ridge or crease in an otherwise smooth surface, such as on skin or fabric . Skin wrinkles typically appear as a result of ageing processes such as glycation , [ 1 ] habitual sleeping positions, [ 2 ] loss of body mass, sun damage, [ 3 ] or ...
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An averaged face is not unremarkable, but is, in fact, quite good looking. [citation needed] Nor is it typical in the sense of common or frequently occurring in the population, though it appears familiar, and is typical in the sense that it is a good example of a face that is representative of the category of faces. [2]