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Computer vision researchers initially adopted the Fitzpatrick scale as a metric to evaluate how well a given collection of photos of people sampled the global population. [4] However, the Fitzpatrick scale was developed to predict the risk of skin cancer in lighter-skinned people, and did not initially include darker skin tones at all.
This page was last edited on 2 February 2024, at 18:41 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
This image shows some kind of simple graph/chart that could be converted to a Wikichart. Storing graphs or charts as images makes it harder to change (correct or translate) them. Wikicharts also help making sure to be consistent in font and size.
This is an accepted version of this page This is the latest accepted revision, reviewed on 28 December 2024. "Skin pigmentation" redirects here. For animal skin pigmentation, see Biological pigment. Extended Coloured family from South Africa showing some spectrum of human skin coloration Human skin color ranges from the darkest brown to the lightest hues. Differences in skin color among ...
Recolored it in accordance with File:Felix von Luschan Skin Color chart.svg. Reflectance spectrophotometry is a much more modern way of measurement of human skin color. See Jablonski's work. The best known of these maps is that composed by Renato Biasutti, which was based on von Luschan's chromatic scale. This map has gained broad circulation ...
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The Fitzpatrick scale has been criticized for its Eurocentric bias and insufficient representation of global skin color diversity. [9] The scale originally was developed for classifying "white skin" in response to solar radiation, [2] and initially included only four categories focused on white skin, with "brown" and "black" skin types (V and VI) added as an afterthought.