遇见数据集

235 Shades of Pink

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NIAID Data Ecosystem2026-03-13 收录
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Subjects are asked to distinguish color chips from a reference (with L=57, a=25, b=6 in Lab space) using triangle tests. The variables in ColData.csv are as follows: id: subject ID ldd: the level/direction identifier, corresponding Lab values are found in LabDef.csv correct: 1= yes, 0= no by: year of birth gender: 1= female, 2= male, 3= diverse occupation: 1= employee, 2= student (university), 3= self-employed, 4= trainee, 5= student (high school), 6= other experience: 1= experience in the color industry (e.g. painter, graphic designer) 2= no industry experience, 3= I do not know device: 1= iPhone, 2= iPad, 3= Macbook, 4= iMac, 5= Smartphone (other), 6= Notebook (other), 7= Tablet (other), 8= PC, 9= other Our data analysis is found in ColAnalysis.html. If using the data, please cite: B.A. Altmann, J. Gertheiss, I. Tomasevic, C. Engelkes, T. Glaesener, J. Meyer, A. Schäfer, R. Wiesen, and D. Mörlein (2022): Human perception of color differences using computer vision system measurements of raw pork loin. Meat Science, in press. https://www.sciencedirect.com/science/article/abs/pii/S0309174022000341

创建时间:
2022-02-25
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