torchvision.datasets

torchvision.datasets is a module in the PyTorch library that provides access to popular image datasets for machine learning tasks.

It includes datasets such as:

1. MNIST: a dataset of handwritten digits
2. CIFAR10 and CIFAR100: datasets of small color images
3. ImageNet: a dataset of over a million labeled images in 1000 categories
4. COCO: a large-scale object detection, segmentation, and captioning dataset

These datasets can be easily downloaded and used for training and testing deep learning models. The module also provides tools for data augmentation and preprocessing, making it easier to work with these datasets in PyTorch.

相关问题

torchvision.datasets.

torchvision.datasets是PyTorch中的一个模块，用于加载和处理常见的计算机视觉数据集，例如MNIST、CIFAR10、CIFAR100、ImageNet等。它提供了一些方便的函数和类，可以帮助我们轻松地下载、预处理和加载这些数据集。

torchvision.datasets.MNIST

torchvision.datasets.MNIST is a dataset in the PyTorch library that contains handwritten digits (0-9) images. The dataset consists of 60,000 training images and 10,000 testing images. It is commonly used as a benchmark dataset for image classification tasks. The images are grayscale and have a size of 28x28 pixels. The dataset can be easily downloaded using the torchvision.datasets.MNIST() function.