torchvision.datasets.folder

torchvision.datasets.folder is a module in the PyTorch library that provides functionality for creating custom datasets from image files. It includes tools for loading images from directories, transforming them, and creating PyTorch datasets for use in machine learning models.

The module contains two main classes: ImageFolder and DatasetFolder. ImageFolder is a class for creating a dataset from a directory of images where each subdirectory represents a different class. DatasetFolder is a more general class that allows for more flexibility in creating a dataset from a directory of files, including the ability to specify custom transformations and file extensions.

Overall, torchvision.datasets.folder is a useful tool for creating custom image datasets for use in PyTorch models.