I am new to fastai and I was trying to build a simple image classifier. When I create a databunch in order to load the data and subsequently use show_batch to see the images that are loaded, I can see that the top and bottom portions of the image are cropped when I explicitly asked for no transformations on both the train and validation datasets.
Please refer this screenshot.
As seen, when I am creating an ImageDataBunch from a folder (it has Imagenet type directory structure) I explicitly mention the ds_tfms argument to be a list of two Nones, yet I get a cropped image.
Can anyone please elaborate why is this happening and whether the images are really cropped when loaded or is it only when displaying that the images are cropped?