|
--- |
|
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: 1209620544.21 |
|
num_examples: 162770 |
|
- name: validation |
|
num_bytes: 148733684.292 |
|
num_examples: 19962 |
|
- name: test |
|
num_bytes: 149605611.301 |
|
num_examples: 19867 |
|
download_size: 1424899346 |
|
dataset_size: 1507959839.803 |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
- split: validation |
|
path: data/validation-* |
|
- split: test |
|
path: data/test-* |
|
license: mit |
|
task_categories: |
|
- feature-extraction |
|
- image-classification |
|
- image-feature-extraction |
|
size_categories: |
|
- 100K<n<1M |
|
--- |
|
|
|
# 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. |
|
|
|
## 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} |
|
} |
|
``` |