dataeval.utils.data.datasets.VOCSegmentation¶

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

Pascal VOC Segmentation Dataset.

Parameters:¶

root : str or pathlib.Path¶

Root directory of dataset where the vocdataset folder exists.

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.

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] | None, default None¶

Transform(s) to apply to the data.

verbose : bool, default False¶

If True, outputs print statements.

index2label¶

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

Type:¶

dict

label2index¶

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

Type:¶

dict

Return type:¶

dict[str, int]

path¶

Location of the folder containing the data.

Type:¶

Path

metadata¶

Dictionary containing Dataset metadata, such as id which returns the dataset class name.

Type:¶

dict