Smartphone-Based Air Pollution Image Dataset (SAPID)
Published: 22 July 2024| Version 2 | DOI: 10.17632/j654cspb6r.2
Contributor:
Ruikuan ZhuDescription
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.
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Categories
Computer Vision, Environmental Health, Air Pollution, Machine Learning, Mobile Device, Image Classification, Outdoor Air Pollution, Deep Learning, Mobile Deep Learning, Smartphone, Applied Machine Learning