DF2023: The Digital Forensics 2023 Dataset for Image Forgery Detection

The deliberate manipulation of public opinion, especially through altered images, which are frequently disseminated through online social networks, poses a significant danger to society. To fight this issue on a technical level we support the research community by releasing the Digital Forensics 2023 (DF2023) training and validation dataset, comprising one million images from four major forgery categories: splicing, copy-move, enhancement and removal. This dataset enables an objective comparison of network architectures and can significantly reduce the time and effort of researchers preparing datasets.

• Publication year

  2025

• Venue

  arXiv.org

• Publication date

  2025-03-28

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5281/zenodo.8215043 10.5281/zenodo.7326540arXiv 2503.22417
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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