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KonIQ-10k IQA Database
Sep 23, 2022
Hosu, Vlad; Lin, Hanhe; Szirányi, Tamas; Saupe, Dietmar, 2022, "KonIQ-10k IQA Database", https://doi.org/10.18419/darus-2435, DaRUS, V1, UNF:6:2Pw1H0RwWd4G4kLDsT/bjA== [fileUNF]
KonIQ-10k is, at the time of publication, the largest IQA dataset to date 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-relat...
koniq10k_1024x768.zip
Sep 23, 2022 - KonIQ-10k IQA Database
ZIP Archive - 5.2 GB - MD5: 85f076d7a43b2e306f7080814f69af3e
koniq10k_512x384.zip
Sep 23, 2022 - KonIQ-10k IQA Database
ZIP Archive - 731.4 MB - MD5: dc213332574e8431a86c7ff34e1fa924
koniq10k_indicators.tab
Sep 23, 2022 - KonIQ-10k IQA Database
Tabular Data - 838.4 KB - 9 Variables, 10073 Observations - UNF:6:R0ufUtMNYygvRLURoMlQJQ==
koniq10k_scores_and_distributions.tab
Sep 23, 2022 - KonIQ-10k IQA Database
Tabular Data - 812.3 KB - 10 Variables, 10073 Observations - UNF:6:S4OuGLN8dEvJ6S0Sr8AGdA==
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