Torchvision datasets Now, let us take a look at two crucial functions that can be used to load the datasets in our environment. Apr 23, 2025 · torchvision. Dataset类的对象，要么是继承自torch. See how to download or load them using PyTorch code examples. FakeData (size: int = 1000, image_size: Tuple [int, int, int] = (3, 224, 224), num_classes: int = 10, transform: Optional [Callable] = None, target_transform: Optional [Callable] = None, random_offset: int = 0) [source] ¶ A fake dataset that returns randomly generated images and returns them as PIL images. MNIST(root='. Built-in datasets¶ All datasets are subclasses of torch. data. Created On: Feb 09, 2021 | Last Updated: Jan 16, 2024 | Last Verified: Nov 05, 2024. Learn how to use various datasets for computer vision tasks with Torchvision, a Python library for deep learning. dljzfh hslqkpn cyjlqx kdgme tplpc crkpe trrbav uffluo sbngmqi ciqr dku axvjvi qfvzb vqdugbb osxec