Estimation of Atmospheric Visibility by Deep Learning Model Using Multimodal Dataset

Dataset contains multimodal data used for training and evaluation of deep learning models for atmospheric visibility estimation, as described in the article "Estimation of Atmospheric Visibility by Deep Learning Model Using Multimodal Dataset".

The dataset consists of RGB images captured by a fixed-position surveillance camera and corresponding meteorological measurements obtained from a professional meteorological station.. The data were collected over the course of one calendar year to ensure coverage of a wide variety of atmospheric conditions, including haze, fog, rain, snow, and variable solar radiation levels.