dataeval.utils.data.datasets.VOCDetection¶
-
class dataeval.utils.data.datasets.VOCDetection(root, year=
'2012', image_set='train', download=False, transform=None, target_transform=None, transforms=None)¶ Pascal VOC Detection Dataset.
- Parameters:¶
- root : str or pathlib.Path¶
Root directory of the VOC Dataset.
- year : "2007", "2008", "2009", "2010", "2011" or "2012", default "2012"¶
The dataset year.
- image_set : "train", "trainval", "val", or "test", default "train"¶
“test” is only valid for the year “2007”
- download : bool, default False¶
If true, downloads the dataset from the internet and puts it in root directory. If dataset is already downloaded, it is not downloaded again.
- transform : Callable or None, default None:¶
A function/transform that takes in a PIL image and returns a transformed version. ToImage() and ToDtype(torch.float32, scale=True) are applied by default.
- target_transform : Callable or None, default None:¶
A function/transform that takes in the target and transforms it.
- transforms : Callable or None, default None¶
A function/transform that takes input sample and its target as entry and returns a transformed version.