The `torchvision.transforms.RandomHorizontalFlip` function is a transformation in the Python `torchvision` library that randomly flips an image horizontally with a probability of 0.5. This function is commonly used in image augmentation pipelines for deep learning tasks to increase the diversity of the training dataset. Flipping the image horizontally can help the model learn rotation-invariant features and improve its generalization ability.
Python RandomHorizontalFlip - 30 examples found. These are the top rated real world Python examples of torchvision.transforms.RandomHorizontalFlip extracted from open source projects. You can rate examples to help us improve the quality of examples.