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.本仓库包含一组由缩比例模型（reduced-scale models）采集的图像数据集。本数据集的核心研究目标为探究建筑构件（包括照明设计策略与色彩应用）对室内使用者的视觉与非视觉影响。该缩比例模型以1:50的比例还原了一间通用型室内空间。本数据集涵盖了多种不同的室内照明工况，其变量包含光源类型（模拟自然光、自然光与人工照明系统）、饰面色彩应用以及色温。本数据集是Carolina Espinoza-Sanhueza在拉瓦尔大学（Laval University）完成建筑学博士学位论文的组成部分，其指导教师为Claude MH Demers、Marc Hébert与Jean-François Lalonde。