GTSRB — Torchvision 0.22 documentation (original) (raw)
class torchvision.datasets.GTSRB(root: Union[str, Path], split: str = 'train', transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, download: bool = False)[source]¶
German Traffic Sign Recognition Benchmark (GTSRB) Dataset.
Parameters:
- root (str or
pathlib.Path
) – Root directory of the dataset. - split (string , optional) – The dataset split, supports
"train"
(default), or"test"
. - 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.
- download (bool, optional) – If True, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
Special-members:
__getitem__(index: int) → Tuple[Any, Any][source]¶
Parameters:
index (int) – Index
Returns:
Sample and meta data, optionally transformed by the respective transforms.
Return type:
(Any)