Smartphone-Based Air Pollution Image Dataset (SAPID)

This dataset is comprised of 456 images divided into five Air Quality Index categories designated by the United States Environmental Protection Agency, with 135 in the Good class, 188 in the Moderate class, 29 in the Unhealthy for Sensitive Groups class, 78 in the Unhealthy class, and 26 in the Very Unhealthy class. This dataset will allow researchers to build more robust and accessible computer vision related algorithms with everyday applications in environment and healthcare fields.本数据集涵盖456张图像，依据美国环境保护署（United States Environmental Protection Agency，简称EPA）制定的五类空气质量指数（Air Quality Index，简称AQI）分级标准进行划分，各分级对应的样本量分别为：优（Good）类135张、良（Moderate）类188张、对敏感人群不健康（Unhealthy for Sensitive Groups）类29张、不健康（Unhealthy）类78张、极不健康（Very Unhealthy）类26张。本数据集可为研究人员开发鲁棒性更强、更具可及性的计算机视觉相关算法提供支撑，此类算法可在环境与医疗健康领域实现日常应用。