KonIQ-10k Dataset

KonIQ-10k is a large-scale IQA dataset consisting of 10,073 quality scored images. This is the first in-the-wild database aiming for ecological validity, with regard to the authenticity of distortions, the diversity of content, and quality-related indicators. Through the use of crowdsourcing, we obtained 1.2 million reliable quality ratings from 1,459 crowd workers, paving the way for more general IQA models.

KonIQ-10k 是一个大规模的图像质量评估（IQA）数据集，包含 10,073 张经过质量评分的图像。该数据库作为首个旨在追求生态效度的野外数据库，对扭曲的真实性、内容的多样性以及与质量相关的指标进行了考量。通过众包的方式，我们收集到了来自 1,459 名众包工作者的 120 万份可靠的图像质量评分，为更通用的图像质量评估模型的发展奠定了基础。