class torchvision.transforms.v2.TenCrop(size: Union[int, Sequence[int]], vertical_flip: bool = False)[source]

Crop the image or video into four corners and the central crop plus the flipped version of these (horizontal flipping is used by default).

If the input is a torch.Tensor or a Image or a Video it can have arbitrary number of leading batch dimensions. For example, the image can have [..., C, H, W] shape.

See FiveCrop for an example.


This transform returns a tuple of images and there may be a mismatch in the number of inputs and targets your Dataset returns. See below for an example of how to deal with this.

  • size (sequence or int) – Desired output size of the crop. If size is an int instead of sequence like (h, w), a square crop (size, size) is made. If provided a sequence of length 1, it will be interpreted as (size[0], size[0]).

  • vertical_flip (bool, optional) – Use vertical flipping instead of horizontal


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