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

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.

本仓库收录了一组由缩尺模型获取的图像数据集。该数据集的主要目的是研究建筑元素对居住者产生的视觉与非视觉影响，包括照明设计策略与色彩应用。所使用的缩尺模型代表了一个比例为1:50的通用房间。数据展示了不同室内照明条件下的光源（模拟日光、日光和电气系统）、表面色彩应用以及色彩温度。该数据集构成了拉瓦尔大学Carolina Espinoza-Sanhueza博士论文的一部分，由Claude MH Demers、Marc Hébert和Jean-François Lalonde教授指导。