A Multielement Recognition Algorithm Based on Deep Learning

With the development of deep learning, the classification and recognition of wasps has become one of the hot issues in research. The paper based on the text and images in the provided data set. Firstly, input the image data of the wasp into the deep residual network to obtain its confidence coefficient, with an accuracy of 75%; Then, the obtained text reports are generated into training sets, test sets, and validation sets, and the Skip gram method is used to supervise and train the text recognition model. Thirdly, using support vector machines for classification has an accuracy of 82.73%. Finally, the recognition results of the image and text are weighted to obtain the final classification result. Examples have shown that this method has good recognition performance.