PM25Vision: A Large-Scale Benchmark Dataset for Visual Estimation of Air Quality

Fuente: arXiv
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Autore principale: Han, Yang
Natura: Preprint
Pubblicazione: 2025
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author Han, Yang
author_facet Han, Yang
contents We introduce PM25Vision (PM25V), the largest and most comprehensive dataset to date for estimating air quality - specifically PM2.5 concentrations - from street-level images. The dataset contains over 11,114 images matched with timestamped and geolocated PM2.5 readings across 3,261 AQI monitoring stations and 11 years, significantly exceeding the scale of previous benchmarks. The spatial accuracy of this dataset has reached 5 kilometers, far exceeding the city-level accuracy of many datasets. We describe the data collection, synchronization, and cleaning pipelines, and provide baseline model performances using CNN and transformer architectures. Our dataset is publicly available.
format Preprint
id arxiv_https___arxiv_org_abs_2509_16519
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle PM25Vision: A Large-Scale Benchmark Dataset for Visual Estimation of Air Quality
Han, Yang
Computer Vision and Pattern Recognition
We introduce PM25Vision (PM25V), the largest and most comprehensive dataset to date for estimating air quality - specifically PM2.5 concentrations - from street-level images. The dataset contains over 11,114 images matched with timestamped and geolocated PM2.5 readings across 3,261 AQI monitoring stations and 11 years, significantly exceeding the scale of previous benchmarks. The spatial accuracy of this dataset has reached 5 kilometers, far exceeding the city-level accuracy of many datasets. We describe the data collection, synchronization, and cleaning pipelines, and provide baseline model performances using CNN and transformer architectures. Our dataset is publicly available.
title PM25Vision: A Large-Scale Benchmark Dataset for Visual Estimation of Air Quality
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2509.16519