CelebAMask-HQ

CelebAMask-HQ is a large-scale face image dataset that has 30,000 high-resolution face images selected from the CelebA dataset by following CelebA-HQ. Each image has segmentation mask of facial attributes corresponding to CelebA.

The masks of CelebAMask-HQ were manually-annotated with the size of 512 x 512 and 19 classes including all facial components and accessories such as skin, nose, eyes, eyebrows, ears, mouth, lip, hair, hat, eyeglass, earring, necklace, neck, and cloth.

CelebAMask-HQ can be used to train and evaluate algorithms of face parsing, face recognition, and GANs for face generation and editing.

If you need the identity labels and the attribute labels of the images, please send request to the CelebA team.
Demo of interactive facial image manipulation

Sample Images

Face Manipulation Model with CelebAMask-HQ

CelebAMask-HQ can be used on several research fields including: facial image manipulation, face parsing, face recognition, and face hallucination. We showcase an application on interactive facial image manipulation as bellow:

Samples of interactive facial image manipulation

CelebAMask-HQ Dataset Downloads

Google Drive: downloading link
Baidu Drive: downloading link

Related Works

CelebA dataset:
Ziwei Liu, Ping Luo, Xiaogang Wang and Xiaoou Tang, "Deep Learning Face Attributes in the Wild", in IEEE International Conference on Computer Vision (ICCV), 2015
CelebA-HQ was collected from CelebA and further post-processed by the following paper :
Karras et. al, "Progressive Growing of GANs for Improved Quality, Stability, and Variation", in Internation Conference on Reoresentation Learning (ICLR), 2018

Dataset Agreement

The CelebAMask-HQ dataset is available for non-commercial research purposes only.
You agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purposes, any portion of the images and any portion of derived data.
You agree not to further copy, publish or distribute any portion of the CelebAMask-HQ dataset. Except, for internal use at a single site within the same organization it is allowed to make copies of the dataset.

Related Projects using CelebAMask-HQ

License and Citation

The use of this software is RESTRICTED to non-commercial research and educational purposes.

@inproceedings{CelebAMask-HQ,
  title={MaskGAN: Towards Diverse and Interactive Facial Image Manipulation},
  author={Lee, Cheng-Han and Liu, Ziwei and Wu, Lingyun and Luo, Ping},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2020}
}

Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Antlr4	15,294	2,507	754	4 days ago	29	May 21, 2023	847	bsd-3-clause	Java
ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.
Mvision	5,784			2 years ago			14		C++
机器人视觉移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习无人驾驶
Celebamask Hq	1,456			2 years ago			49		Python
A large-scale face dataset for face parsing, recognition, generation and editing.
Tika Python	1,316	83	48	2 months ago	35	January 02, 2023	4	apache-2.0	Python
Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Seshat	577			5 years ago			21	gpl-3.0	C++
Handwritten math expression parser
Facexlib	490		2	3 months ago	15	June 22, 2022	19	mit	Python
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.
Biaffine Ner	320			a month ago			30	apache-2.0	Python
Named Entity Recognition as Dependency Parsing
Tableimageparser_tx	248			10 months ago			16		Python
table structure recognition
Phplrt	185	1	3	4 months ago	44	January 29, 2023	1	mit	PHP
PHP Language Recognition Tool
Antlr3	75	12	7	11 days ago	21	September 09, 2013	9	other	HTML
Fully-featured ruby parser generation using ANTLR version 3

Celebamask Hq