Weather image classification method and device

Abstract

The invention aims to provide a weather image classification method and device, and the method comprises the steps: determining a weather classification model for classifying weather images, wherein the weather classification model is obtained through the model training, testing and verification of an obtained sample weather image in an actual environment based on an improved dense convolution network; when weather identification needs to be carried out on the weather in the actual environment, obtaining a weather image to be classified in the actual environment, inputting weather images to beclassified into the weather classification model for classification, and obtaining a weather category corresponding to the weather image to be classified. Training and determination of the weather classification model are realized; the authenticity and effectiveness of the data source used for model training are ensured, the weather images to be classified acquired in the actual environment can be efficiently and accurately recognized subsequently, the corresponding weather types are predicted, and therefore the classification accuracy of the weather images to be recognized in the actual environment is improved.

Description

technical field [0001] The present application relates to the field of computers, in particular to a weather image classification method and equipment. Background technique [0002] Natural weather affects our life and all walks of life all the time. Traditional weather recognition is generally done manually, which is not only inefficient, but also consumes a lot of resources. Today, with the rapid development of artificial intelligence, the method of artificial intelligence is used to analyze the weather. Identification and classification are increasingly required by the times, and can more efficiently promote the development of related industries and the progress of the times. [0003] The weather pictures involved in the actual weather classification are often combined with natural scenes, and the classification conditions are more complicated. If the artificial intelligence method is not used for classification, it will naturally affect the application of the downstream ...

AI Technical Summary

Problems solved by technology

[0002] Natural weather affects our life and all walks of life all the time. Traditional weather recognition is generally done manually, which is not only inefficient, but also consumes a lot of resources. Today, with the rapid development of artificial intelligence, the method of artificial intelligence is used to analyze the weather. Identification and classification are increasingly required by the times, and can more efficiently promote the development of related industries and the progress of the times

[0003] The weather pictures involved in the actual weather classification are often combined with natural scenes, and the classification conditions are more complicated. If the artificial intelligence method is not used for classification, it will naturally affect the application of the downstream industry chain and cause a series of problems. series of negative effects

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