Yoğun Evrişimli Sinir Ağı ile Gökyüzü Görüntülerinden Hava Durumu Tespiti

Abstract

Weather conditions appear as an unchangeable structure. However, determining and determining weather conditions can help individuals plan their physical activities. In the study, it has been tried to perform different sky images and weather detection processes with image classification methods, which is one of the popular work subjects in the computer field in recent years. In the study, a data set consisting of images with different weather conditions and resolutions was used. The number of images in the data set has been increased by using various data augmentation methods. The feature maps of the images were obtained by applying image processing techniques to the images. In the next part of the study, the classification process was carried out on the images with an accuracy rate of 96.4% using the DenseNet image classification model.