This article analyzes the image features of various weather phenomena, collects and constructs a weather image dataset, and builds a convolutional neural network model based on deep learning methods for weather phenomenon recognition. Firstly, this article constructs a dataset of five common weather types, including sunny, rainy, snowy, foggy, and thunderstorm weather, which includes multiple weather types and is closer to real production and living conditions. Each category has 10000 annotated weather images. Secondly, in response to some issues with existing weather image classification meth...
