README.md

---
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

```bibtex
@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} 
}
```