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.

翻译：通过篡改图像蓄意操纵公众舆论，尤其是这些图像经常通过在线社交网络传播，对社会构成了重大威胁。为了在技术层面应对这一问题，我们通过发布数字取证2023（DF2023）训练与验证数据集来支持研究社区。该数据集包含来自四大主要伪造类别（拼接、复制-移动、增强与移除）的一百万张图像。该数据集能够实现对网络架构的客观比较，并可显著减少研究人员准备数据集所需的时间与精力。