transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225))

This is a normalization transformation applied to an image using PyTorch's torchvision library.

The first tuple of values (0.485, 0.456, 0.406) represents the mean values for the red, green, and blue channels of the image. The second tuple of values (0.229, 0.224, 0.225) represents the standard deviation values for the red, green, and blue channels of the image.

This transformation is commonly used in computer vision tasks to ensure that the input data has a similar scale and distribution, which can improve the accuracy of the model. The values used in this particular transformation were obtained through empirical testing and are commonly used in pre-trained models such as ResNet and VGG.