Dataset of images for visual and non-visual analyses of light and colour applications in architecture

Description

This repository contains a dataset of images obtained from reduced-scale models. The main objective of this dataset was to study the visual and non-visual impact on occupants of architectural elements including lighting design strategies and colour applications. The reduced-scale models represented a generic room at 1:50 scale. The data present different interior lighting conditions in terms of light source (simulated daylight, daylight, and electric system), surface colour applications, and colour temperature. The dataset makes part of a doctoral dissertation in architecture at Laval University by Carolina Espinoza-Sanhueza, supervised by Claude MH Demers, Marc Hébert, and Jean-François Lalonde.

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