torchvision

torchvision is a package in the PyTorch library that provides various image and video datasets, pre-trained models, and image transformation functions for deep learning tasks. It includes popular datasets such as CIFAR-10, CIFAR-100, ImageNet, and COCO. The package also provides pre-trained models such as AlexNet, VGG, ResNet, and DenseNet for image classification, object detection, and segmentation tasks. Additionally, torchvision provides image transformation functions such as random cropping, resizing, flipping, and normalization, which can be used for data augmentation during training. Overall, torchvision simplifies the process of loading and preprocessing image datasets and enables developers to quickly build deep learning models for image-related tasks.