This demo is powered by the PM25Vision Dataset, which combines Mapillary street-level imagery with air quality measurements from the World Air Quality Index (WAQI).
A deep learning model (EfficientNet-B0
) was trained on this dataset to classify
PM2.5 pollution levels. For more details and source code, please visit our
GitHub project (coming soon).