'transforms' arguments in torchvision.datasets can't use?

The code snippet is below.

The ‘transforms’ argument can’t use?

Related issue

The linked object detection tutorial links to the references/detection/transforms.py, which implement transformations accepting an input and target tensor, so you would need to copy these fles (or git clone) to your workspace.

Thank you, I get it.
But I want to know why not torchvision integrate these transforms(do same transform in image and target) internal?

I don’t know, but guess because there might have been concerns about overriding the default transformations.

I get it. Thank you.