How to get the imagenet dataset on which pytorch models are trained on
Can anyone please tell me how to download the complete imagenet dataset on which the pytorch torchvision models are trained on and their Top-1 error is reported on?

I have downloaded Tiny-Imagenet from Imagenet website and used pretrained resnet-101 model which provides only 18% Top-1 accuracy. 

Download the ImageNet dataset from http://www.image-net.org/  (you have to sign in)

Then, you should move validation images to labeled subfolders, which could be done automatically using the following shell script:
https://raw.githubusercontent.com/soumith/imagenetloader.torch/master/valprep.sh
