Torchvision provides many built-in datasets in the torchvision.datasets module, as well as utility classes for building your own datasets. Cifar10 · Mnist · Utils · ImageNet

PyTorch provides two data primitives: torch.utils.data.DataLoader and torch.utils.data.Dataset that allow you to use pre-loaded datasets as well as your own ... Torchtext.datasets · Torchaudio.datasets · Transforms · Torch.utils.data

UCF101 is an action recognition video dataset. This dataset consider every video as a collection of video clips of fixed size, specified by frames_per_clip , ...

This document is a quick introduction to using datasets with PyTorch, with a particular focus on how to get torch.Tensor objects out of our datasets.

A custom dataset is a collection of data relating to a specific problem you're working on. In essence, a custom dataset can be comprised of almost anything.

The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision. Installation. Please ...

PyTorch provides many tools to make data loading easy and hopefully, to make your code more readable. In this tutorial, we will see how to load and preprocess/ ...

This class is useful to assemble different parts of complex input data, given as datasets. Example ...

datasets . Contents. Homogeneous Datasets. Heterogeneous Datasets. Hypergraph Datasets. Synthetic Datasets. Graph Generators. Torch_geometric.data · TUDataset · KarateClub

At the heart of PyTorch data loading utility is the torch.utils.data.DataLoader class. It represents a Python iterable over a dataset.