DEFACTO: Image and Face Manipulation Dataset

  title={DEFACTO: Image and Face Manipulation Dataset},
  author={Ga{\"e}l Mahfoudi and Badr Tajini and F. Retraint and F. Morain-Nicolier and J. Dugelay and M. Pic},
  journal={2019 27th European Signal Processing Conference (EUSIPCO)},
This paper presents a novel dataset for image and face manipulation detection and localization called DEFACTO. The dataset was automatically generated using Microsoft common object in context database (MSCOCO) to produce semantically meaningful forgeries. Four categories of forgeries have been generated. Splicing forgeries which consist of inserting an external element into an image, copy-move forgeries where an element within an image is duplicated, object removal forgeries where objects are… Expand

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