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VisionDataset

class torchvision.datasets.VisionDataset(root: Optional[str] = None, transforms: Optional[Callable] = None, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None)[source]

Base Class For making datasets which are compatible with torchvision. It is necessary to override the __getitem__ and __len__ method.

Parameters:
  • root (string, optional) – Root directory of dataset. Only used for __repr__.

  • transforms (callable, optional) – A function/transforms that takes in an image and a label and returns the transformed versions of both.

  • transform (callable, optional) – A function/transform that takes in a PIL image and returns a transformed version. E.g, transforms.RandomCrop

  • target_transform (callable, optional) – A function/transform that takes in the target and transforms it.

Note

transforms and the combination of transform and target_transform are mutually exclusive.

Examples using VisionDataset:

Transforms v2: End-to-end object detection/segmentation example

Transforms v2: End-to-end object detection/segmentation example

How to use CutMix and MixUp

How to use CutMix and MixUp

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