Pytorch ImageNet dataset
I am unable to download the original ImageNet dataset from their official website. However, I found out that pytorch has ImageNet as one of it’s torch vision datasets.

Q1. Is that the original ImageNet dataset?

Q2. How do I get the classes for the dataset like it’s being done in Cifar-10

classes = [‘airplane’, ‘automobile’, ‘bird’, ‘cat’, ‘deer’, ‘dog’, ‘frog’, ‘horse’, ‘ship’, ‘truck’]


The torchvision.datasets.ImageNet is just a class which allows you to work with the ImageNet dataset. You have to download the dataset yourself (e.g. from http://image-net.org/download-images) and pass the path to it as the root argument to the ImageNet class object.
Note that the option to download it directly by passing the flag download=True is no longer possible:
if download is True:
    msg = (&quot;The dataset is no longer publicly accessible. You need to &quot;
           &quot;download the archives externally and place them in the root &quot;
           &quot;directory.&quot;)
    raise RuntimeError(msg)
elif download is False:
    msg = (&quot;The use of the download flag is deprecated, since the dataset &quot;
           &quot;is no longer publicly accessible.&quot;)
    warnings.warn(msg, RuntimeWarning)

(source)
If you just need to get the class names and the corresponding indices without downloading the whole dataset (e.g. if you are using a pretrained model and want to map the predictions to labels), then you can download them e.g. from here or from this github gist.
