Flickr8k

class torchvision.datasets.Flickr8k(root: ~typing.Union[str, ~pathlib.Path], ann_file: str, transform: ~typing.Optional[~typing.Callable] = None, target_transform: ~typing.Optional[~typing.Callable] = None, loader: ~typing.Callable[[str], ~typing.Any] = <function default_loader>)

Flickr8k Entities Dataset.

Parameters:

• root (str or pathlib.Path) – Root directory where images are downloaded to.

• ann_file (string) – Path to annotation file.

• transform (callable, optional) – A function/transform that takes in a PIL image or torch.Tensor, depends on the given loader, and returns a transformed version. E.g, transforms.RandomCrop

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

• loader (callable, optional) – A function to load an image given its path. By default, it uses PIL as its image loader, but users could also pass in torchvision.io.decode_image for decoding image data into tensors directly.

Special-members:

__getitem__(index: int) → Tuple[Any, Any]

Parameters:

index (int) – Index

Returns:

Tuple (image, target). target is a list of captions for the image.

Return type:

tuple