Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition
Abstract Image data classification using machine ultrastar dc hc550 learning is an effective method for detecting atmospheric phenomena.However, extreme weather events with a small number of cases cause a decrease in classification prediction accuracy owing to the imbalance in data between the target class and the other classes.To build a highly ac