README.md

metadata

license: mit
dataset_info:
  features:
    - name: image
      dtype: image
    - name: 5_o_Clock_Shadow
      dtype: int64
    - name: Arched_Eyebrows
      dtype: int64
    - name: Attractive
      dtype: int64
    - name: Bags_Under_Eyes
      dtype: int64
    - name: Bald
      dtype: int64
    - name: Bangs
      dtype: int64
    - name: Big_Lips
      dtype: int64
    - name: Big_Nose
      dtype: int64
    - name: Black_Hair
      dtype: int64
    - name: Blond_Hair
      dtype: int64
    - name: Blurry
      dtype: int64
    - name: Brown_Hair
      dtype: int64
    - name: Bushy_Eyebrows
      dtype: int64
    - name: Chubby
      dtype: int64
    - name: Double_Chin
      dtype: int64
    - name: Eyeglasses
      dtype: int64
    - name: Goatee
      dtype: int64
    - name: Gray_Hair
      dtype: int64
    - name: Heavy_Makeup
      dtype: int64
    - name: High_Cheekbones
      dtype: int64
    - name: Male
      dtype: int64
    - name: Mouth_Slightly_Open
      dtype: int64
    - name: Mustache
      dtype: int64
    - name: Narrow_Eyes
      dtype: int64
    - name: No_Beard
      dtype: int64
    - name: Oval_Face
      dtype: int64
    - name: Pale_Skin
      dtype: int64
    - name: Pointy_Nose
      dtype: int64
    - name: Receding_Hairline
      dtype: int64
    - name: Rosy_Cheeks
      dtype: int64
    - name: Sideburns
      dtype: int64
    - name: Smiling
      dtype: int64
    - name: Straight_Hair
      dtype: int64
    - name: Wavy_Hair
      dtype: int64
    - name: Wearing_Earrings
      dtype: int64
    - name: Wearing_Hat
      dtype: int64
    - name: Wearing_Lipstick
      dtype: int64
    - name: Wearing_Necklace
      dtype: int64
    - name: Wearing_Necktie
      dtype: int64
    - name: Young
      dtype: int64
    - name: prompt_string
      dtype: string
  splits:
    - name: train
      num_bytes: 595884212.447
      num_examples: 79999
    - name: validation
      num_bytes: 73107405.93
      num_examples: 9810
    - name: test
      num_bytes: 73120666.79
      num_examples: 9763
  download_size: 700256101
  dataset_size: 742112285.167
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

CelebA-128x128

CelebA with attrs at 128x128 resolution.

Dataset Information

The attributes are binary attributes. The dataset is already split into train/test/validation sets.

This dataset has been reduced so there's 80k train samples.

Citation

@inproceedings{liu2015faceattributes,
  title = {Deep Learning Face Attributes in the Wild},
  author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  booktitle = {Proceedings of International Conference on Computer Vision (ICCV)},
  month = {December},
  year = {2015} 
}