Visual Quality Assessment Databases, MMSP Konstanz
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GFIQA-20k Database

Generic face image quality assessment database

Despite the fact that the study of face images is an important sub-field
in computer vision research, the lack of face IQA data and models limits the precision of current IQA metrics on face image processing tasks such as face super-resolution, face enhancement, and face editing.

To narrow the gap, we created the largest IQA database of human faces in-the-wild called the Generic face image quality assessment 20k database (GFIQA-20k), in which 20,000 face images were rated and ensured the diversity of the individuals depicted in
highly varied circumstances.

Cite us

GFIQA-20k is freely available to the research community. If you use our database in your research, you can cite it as follows:
@article{gfiqa20k,
title={Going the Extra Mile in Face Image Quality Assessment: 
A Novel Database and Model},
author={Su, Shaolin and Lin, Hanhe and Hosu, Vlad and Wiedemann,
Oliver and Sun, Jinqiu and Zhu, Yu and Liu, Hantao and Zhang, 
Yanning and Saupe, Dietmar},
journal={arXiv preprint arXiv:2207.04904},
year={2022}}
Picture
download paper

Download

GFIQA-20k (.ZIP)
~7.2 GB
​The GFIQA-20k database contains:
"images" folder: contains all images. 
"jpeg" folder: contains all images compressed by JPEG.
"mos_var_rating.csv" file: contains subjective ratings. 

Sampled face images with their corresponding MOS (white digits)

Picture
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  • Home
  • VQA Databases
    • KonViD-150k Database
    • KonViD-1k Database
    • KonIQ-10k Database
    • KonIQ++ Database
    • KADID-10k Database
    • IQA-Experts-300
    • KonPatch-30k Database
    • KoSMo-1k Database
    • StudyMB 2.0 Database
    • Picturewise JND Data
    • KonJND-1k database
    • KonFiG-IQA Database
    • GFIQA-20k Database
  • About
  • Contact