dataeval.utils.data.datasets.VOCSegmentation¶
-
class dataeval.utils.data.datasets.VOCSegmentation(root, download=
False, image_set='train', year='2012', size=-1, classes=None, unit_interval=False, dtype=None, channels='channels_first', crop=None, normalize=None, slice_back=False, verbose=False)¶ Pascal VOC Segmentation Dataset.
- Parameters:¶
- root : str or pathlib.Path¶
Root directory of dataset where the
vocdatasetfolder 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.
- size : int, default -1¶
Limit the dataset size, must be a value greater than 0.
- classes : "aeroplane", "bicycle", "bird", "boat", "bottle", "bus", "car", "cat", "chair", "cow", "diningtable", "dog", "horse", "motorbike", "person", "pottedplant", "sheep", "sofa", "train", "tvmonitor", int, list, or None, default None¶
Option to select specific classes from dataset. Classes are 0-9, any other number is ignored.
- unit_interval : bool, default False¶
Shift the data values to the unit interval [0-1].
- dtype : type | None, default None¶
If None, data is loaded as np.uint8. Otherwise specify the desired NumPy dtype.
- channels : "channels_first" or "channels_last", default channels_first¶
Location of channel axis if desired, default is downloaded image which contains channels last
- normalize : tuple[mean, std] or None, default None¶
Normalize images acorrding to provided mean and standard deviation
- slice_back : bool, default False¶
If True and size has a value greater than 0, then grabs selection starting at the last image.
- verbose : bool, default False¶
If True, outputs print statements.
- crop : int | None¶
- 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
- dataset_dir¶
Location of the folder containing the data. Different from root if downloading data.
- Type:¶
Path
- metadata¶
Dictionary containing Dataset metadata, such as id which returns the dataset class name.
- Type:¶
dict