2 datasets found

kadid-10-target
kaggle.com
Updated Apr 7, 2024
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Hadjer Babasaci (2024). kadid-10-target [Dataset]. https://www.kaggle.com/datasets/hadjerbabasaci/kadid-10-target
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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Apr 7, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Hadjer Babasaci
Description
Dataset

This dataset was created by Hadjer Babasaci

Contents
f
Performance results of MultiGAP-NRIQA on KADID-10k alongside our...
plos.figshare.com
xls
Updated Jun 16, 2023
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Franz Götz-Hahn; Vlad Hosu; Dietmar Saupe (2023). Performance results of MultiGAP-NRIQA on KADID-10k alongside our reimplementation, both with and without data leakage. [Dataset]. http://doi.org/10.1371/journal.pone.0269715.t004
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xlsAvailable download formats
Unique identifier
https://doi.org/10.1371/journal.pone.0269715.t004
Dataset updated
Jun 16, 2023
Dataset provided by
PLOS ONE
Authors
Franz Götz-Hahn; Vlad Hosu; Dietmar Saupe
License
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Description
The last column designates whether the splits were sampled correctly considering content (green checkmarks) or randomly, thereby giving rise to tainted test sets (red crosses). The numbers in bold font in lines 3 and 6 give the true performance of the method in [8] both with or without fine-tuning, much below 0.97/0.94 PLCC and 0.97/0.94 SROCC, respectively, as claimed. In line 7 we report the results of an implementation of an end-to-end regression network that combines the feature selection and the quality score prediction.
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