The invention discloses an outdoor weather image classification method based on a transfer learning technology. The method comprises the following steps: firstly, establishing a deep network model, and then converting the trained deep network model in a checkpoint format into a deep network model in a pb format; and finally, judging the weather type of the image quickly and automatically only by inputting the image to be judged into the deep network model in the pb format. Classification accuracy is high, meanwhile, according to the outdoor weather image classification method, weather types can be classified; ready-to-classify fog, rain, sun and snow, meanwhile, subdivision can be carried out according to snowy weather; that is to say, subdivided into snows, medium snow and heavy snow, meanwhile, based on the transfer learning technology, the method has the advantages of being small in training data demand, short in model training time and high in optimization speed, the excellent deepnetwork ResNet is shown on an ImageNet data set in a transfer mode, and the high classification accuracy is obtained. The method is suitable for popularization and application in the technical fieldof image processing.