Addressing the issue of poor recognition of manually painted serial numbers in steel ladle text recognition.We propose a classifica-tion and recognition method based on deep learning to identify the serial numbers.By utilizing data augmentation techniques such as image transformations,adding Gaussian noise,Cutout,Gridmask,and other image occlusion methods,we have improved the accuracy and generalization capabilities of the trained model.The experiments show that the method achieves high accuracy in identifying steel ladle serial numbers in real scene scenarios.
关键词
深度学习/分类识别/数据增强/钢包编号
Key words
Deep learning/Classification recognition/Data augmentation/Ladle number
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