Fishing boat mark identification method and system based on deep learning technology

The invention discloses a fishing boat brand identification method and system based on a deep learning technology, and the method comprises the steps: obtaining a boat brand picture data set, carrying out the preprocessing of the boat brand picture data set, and obtaining a processed boat brand picture data set; constructing an initial CBAM-CRNN model on the basis of the processed ship license picture data set; dividing the processed ship license picture data set into a training data set and a test data set; and based on the training data set, the test data set and the initial CBAM-CRNN model, obtaining an identification CBAM-CRNN model, and completing the identification of the ship mark of the fishing ship. The features of the ship number image data can be utilized to the maximum; the accuracy and precision of ship number identification are improved, and the method is of great significance to scientific management of ocean ports; the method is stable and reliable, the CBAM-CRNN model can be directly applied