CELEBA

Modified version of torchvision.datasets.CelebA to include bias labels and preprocessed splits.

Classes

class datasets.bias_celeba_utils.celeba.BiasCelebA(root, split='train', transform=None, target_transform=None, download=False, version=1)

Bases: VisionDataset

base_folder = 'celeba'

download()

extra_repr()

Return type:

str

file_list = [('0B7EVK8r0v71pZjFTYXZWM3FlRnM', '00d2c5bc6d35e252742224ab0c1e8fcb', 'img_align_celeba.zip'), ('0B7EVK8r0v71pblRyaVFSWGxPY0U', '75e246fa4810816ffd6ee81facbd244c', 'list_attr_celeba.txt'), ('1_ee_0u7vcNLOfNLegJRHmolfH5ICW-XS', '32bd1bd63d3c78cd57e08160ec5ed1e2', 'identity_CelebA.txt'), ('0B7EVK8r0v71pbThiMVRxWXZ4dU0', '00566efa6fedff7a56946cd1c10f1c16', 'list_bbox_celeba.txt'), ('0B7EVK8r0v71pd0FJY3Blby1HUTQ', 'cc24ecafdb5b50baae59b03474781f8c', 'list_landmarks_align_celeba.txt'), ('0B7EVK8r0v71pY0NSMzRuSXJEVkk', 'd32c9cbf5e040fd4025c592c306e6668', 'list_eval_partition.txt')]