dataeval.utils.data.datasets.VOCDetection¶

class dataeval.utils.data.datasets.VOCDetection(root, image_set='train', year='2012', transforms=None, download=False, verbose=False)¶

Pascal VOC Detection Dataset.

Parameters:¶

root : str or pathlib.Path¶

Root directory of dataset where the vocdataset folder exists.

image_set : "train", "val", "test", or "base", default "train"¶

If “test”, then dataset year must be “2007”. If “base”, then the combined dataset of “train” and “val” is returned.

year : "2007", "2008", "2009", "2010", "2011" or "2012", default "2012"¶

The dataset year.

transforms : Transform, Sequence[Transform] or None, default None¶

Transform(s) to apply to the data.

download : bool, default False¶

If True, downloads the dataset from the internet and puts it in root directory. Class checks to see if data is already downloaded to ensure it does not create a duplicate download.

verbose : bool, default False¶

If True, outputs print statements.

path¶

Location of the folder containing the data.

Type:¶

pathlib.Path

year¶

The selected dataset year.

Type:¶

“2007”, “2008”, “2009”, “2010”, “2011” or “2012”

image_set¶

The selected image set from the dataset.

Type:¶

“train”, “val”, “test” or “base”

index2label¶

Dictionary which translates from class integers to the associated class strings.

Type:¶

dict[int, str]

label2index¶

Dictionary which translates from class strings to the associated class integers.

Type:¶

dict[str, int]

Return type:¶

dict[str, int]

metadata¶

Typed dictionary containing dataset metadata, such as id which returns the dataset class name.

Type:¶

DatasetMetadata

transforms¶

The transforms to be applied to the data.

Type:¶

Sequence[Transform]

size¶

The size of the dataset.

Type:¶

int

Note

Data License: Flickr Terms of Use