Natural disasters have been always caused a danger to human life, and among these are earthquakes. Seismic risk assessment consists of the evaluation of existing buildings and their expected response in case of earthquake; exposure model of buildings has a significant role in the final results of risk calculations. With this respect, several studies, including traditional data acquisition (e.g. visual survey) or advanced methods (e.g. remote sensing and machine learning) are conducted. In recent years, advanced techniques have been developed to speed up and automatize the processes of data acquisition to data interpretation, although it is worth mentioning that the visual survey is essential to train and validate machine learning methods.