Research on fish disease detection based on big data and deep learning

Based on big data and deep learning technology, this study con ducted an in-depth study on fish disease detection. Firstly, this study collected and labeled the data and extracted the key features related to fish diseases. Then, based on the YOLOv6 model, the Akconv network structure and SimAM attention module were introduced into the backbone module to improve the traditional detection model.Experiments showed that the performance of the improved YOLOv6 model was improved, and its mAP was increased by 1.8 percentage points. The improved model can provide more accurate and efficient disease detection services for the fish culture industry, which is of great practical significance to the fish culture industry.