Get All Available Datasets in Torchvision

Obtaining a list of all available datasets in Torchvision can be useful for researchers, practitioners, and enthusiasts in the field of computer vision. It can help to identify suitable datasets for specific tasks and research goals. This tutorial demonstrates how to get all available datasets in Torchvision.

In the following code, we retrieve the list of all available datasets in Torchvision and assign it to the variable. We iterate over a list and print the name of each dataset to the console.

import torchvision

datasets = torchvision.datasets.__all__

for name in datasets:
    print(name)

Here's an example of the output you might expect from the code:

LSUN
LSUNClass
ImageFolder
DatasetFolder
FakeData
...