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tpremoli/CelebA-attrs

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

Author / organizationtpremoli
License (as declared)mit
Downloads1.4K (as reported by Hugging Face)
Likes10
Created30 January 2024
Last updated at source23 February 2024
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