Fishing net detection model training method and device, computer equipment and storage medium

The invention relates to a fishing net detection model training method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a sample image; marking the fishing net in the sample image to obtain a first image; preprocessing the first image to obtain a second image; performing wavelet transform on the second image to obtain a plurality of spectral feature maps; and inputting the second image and the plurality of spectral feature maps into an SSD detection framework for training to obtain a fishing net detection model. Wherein the spectral feature map obtained after wavelet transformation has more fishing net features, and the spectral feature map and the second image are added into the SSD detection framework for fusion training, so that the complexity of information coding during training is increased, and the recognition rate of the fishing net detection model is improved. 本申请涉及一种渔网检测模型的训练方法、装置、计算机设备和存储介质。所述方法包括：获取样本图像；对所述样本图像中的渔网进行标注，得到第一图像；对所述第一图像进行预处理，得到第