Binary Classification of Rip Current Images Using Artificial Intelligence / 使用人工智能对离岸流图像进行二分类
An effective method for detecting rip currents, which pose significant hazards to beachgoers, using artificial intelligence. A binary classification model on aerial images of the ocean is trained, utilizing Multi-Layer Perceptron classifiers and achieving a testing accuracy of 73.9%, and an accuracy of 92.5% after applying a confidence threshold.