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tpremoli/CelebA-attrs-160k

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 160k 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… See the full description on the dataset page: https://huggingface.co/datasets/tpremoli/CelebA-attrs-160k.

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Dataset Card

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 160k 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} 
}