Title
Striving for the Indiscernible: Color Vision Deficiency and Scientific Figures
Files
Keywords
Color Vision Deficiency, colorblindness, CNN, Computer, scientific articles
Abstract
8% of men and 0.5% of women suffer from color vision deficiency (CVD)
Through looking at 5000 images from eLife Science, we categorized each image by hand based on how challenging it would be to see for those with CVD
Finally, through the use of a Convolutional Neural Network (CNN), we created a computer visual model that would then sort the images as friendly or unfriendly for people with CVD
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BYU ScholarsArchive Citation
Oakley, Arwen; Stevens, Harlan; and Picco, Stephen, "Striving for the Indiscernible: Color Vision Deficiency and Scientific Figures" (2023). Library/Life Sciences Undergraduate Poster Competition 2023. 11.
https://scholarsarchive.byu.edu/library_studentposters_2023/11
Document Type
Video
Publication Date
2023-03-03
Language
English
College
Life Sciences
Department
Biology
Copyright Use Information
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