Double Trouble? Impact and Detection of Duplicates in Face Image Datasets

Various face image datasets intended for facial biometrics research were created via web-scraping, i.e. the collection of images publicly available on the internet. This work presents an approach to detect both exactly and nearly identical face image duplicates, using file and image hashes. The appr...

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Vydané v:	arXiv.org
Hlavní autori:	Schlett, Torsten, Rathgeb, Christian, Tapia, Juan, Busch, Christoph
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 25.01.2024
Predmet:	Datasets Face recognition Image quality Quality assessment
ISSN:	2331-8422
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