IoT-based AQI Estimation using Image Processing and Learning Methods

This dataset contains 5048 traffic images from Hyderabad with co-located PM2.5, PM10, AQI values, temperature, and humidity collected across monsoon and winter seasons. Each sample includes traffic images, vehicle counts, visibility scores, and weather features. It supports AQI classification into five CPCB-defined categories and enables research in IoT-based real-time air quality estimation, multimodal learning, and urban pollution analysis.