meerkat.datasets.celeba package

Module contents

class celeba(dataset_dir: Optional[str] = None, version: Optional[str] = None, download_mode: str = 'reuse', **kwargs)

Bases: DatasetBuilder

build()

download()

REVISIONS: List[str]

VERSIONS = ['main']

info: DatasetInfo = DatasetInfo(name='celeba', full_name='CelebFaces Attributes', description='CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute  annotations. The images in this dataset cover large pose variations and  background clutter.', citation=None, homepage='https://mmlab.ie.cuhk.edu.hk/projects/CelebA.html', license=None, tags=['image', 'face recognition'])

build_celeba_df(dataset_dir: str)

Build the dataframe by joining on the attribute, split and identity CelebA CSVs.

download_celeba(dataset_dir: str)

get_celeba(dataset_dir: str, download: bool = False)

Build the dataframe by joining on the attribute, split and identity CelebA CSVs.