Training and testing labelled dataset of human faces for different indoor visual comfort and glare visual discomfort situations - images

The image dataset is generated from experimental tests on 23 different participants and includes a certain variety in characteristics: age, gender, face feature, glasses, etc. The original dataset was generated from experimental tests on 24 different participants but all the data of one of the participants was entirely excluded as this participant did not want his/her data to be publically available. After synchronization of the video footages with the answers of the participants regarding their visual discomfort at the different phases of the experiment to label the video dataset, the video footages are resampled at a 0.5 FPS rate, and the YOLOFace extraction algorithm is used to crop the image down to the face of the occupants only and generate the labelled image dataset.本图像数据集源自针对23名不同参与者开展的实验测试，涵盖年龄、性别、面部特征、是否佩戴眼镜等多维度特征差异。原始数据集最初由24名不同参与者的实验测试数据生成，但因其中一名参与者不同意公开其个人数据，该参与者的全部数据均已被移除。在将视频片段与参与者在实验各阶段报告的视觉不适回答进行同步以完成视频数据集标注后，我们以0.5 FPS的速率对视频片段进行重采样，并通过YOLOFace提取算法将画面仅裁剪至参与者面部区域，最终生成带标注的图像数据集。