An image processing method comprises: acquiring a target image; calling an image recognition model comprising a backbone network, a pooling module and a dilated convolution module connected to the backbone network and parallel to each other, and a fusion module connected to the pooling module and the dilated convolution module; using the backbone network in the image recognition model to extract features from the target image, using the pooling module and the dilated convolution module to respectively process a feature map output by the backbone network, so as to obtain a first result output by the pooling module and a second result output by the dilated convolution module, using the fusion module to fuse the first result and the second result, and outputting a model recognition result of the target image; and determining a semantic segmentation label map of the target image on the basis of the model recognition result.