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image analysis, computer vision, photoshop, human perception


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Dartmouth College researchers have developed software that measures how much fashion and beauty photographs have been altered. The researchers, led by Dartmouth professor Hany Farid and Ph.D. student Eric Kee, say the new tool could be a technological step to address concerns about the prevalence of digitally edited images in advertising and fashion magazines. The researchers say that highly altered images contribute to eating disorders and anxiety about body types, especially among young women. The Dartmouth research could be hugely important as a tool for objectively measuring the degree to which photos have been altered, says Off Our Chests co-founder Seth Matlins, who recently proposed the Self-Esteem Act, which would require photos that have been meaningfully changed to be labeled. The Dartmouth tool statistically measures how much the image has been altered. Farid and Kee developed the algorithm by recruiting online volunteers to compare sets of before-and-after images, ranking them on a scale of one to five as minimally altered to drastically changed. The rankings were used to train the software.



Hany Farid (Dartmouth College)
Eric Kee (Dartmouth College)

Institution(s) (that have supported the research):
NSF, Dartmouth College


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