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 pict...
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| creator | DING DONGPING ZHANG LEI LEE HOON ZHANG JUNHU LI HAITAO |
| description | 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 |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
| title | Fishing boat mark identification method and system based on deep learning technology |
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