Image Integrity Database

  • Michael Seadle (Creator)

Dataset

Description

The HEADT Centre team is currently creating and implementing a comprehensive database with images from retracted scientific publications (“Image Integrity Database”, or short: “IIDB”). The aim is to produce a searchable database for researchers worldwide who want to learn more about the nature of inappropriate image manipulation. The database offers a test set of images for scholars who are working on the development of image manipulation detection algorithms or image analysis tools to facilitate an automated screening of images in publications.
Date made available2019
PublisherElsevier

Cite this

Seadle, M. (Creator) (2019). Image Integrity Database. Elsevier.