AI RESEARCH
SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation
arXiv CS.CV
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ArXi:2604.07101v1 Announce Type: new We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style image forgery detection and localisation, in response to recent advances in open-access image generation models that raise concerns about falsifying visual evidence. Existing forgery models, trained on datasets with full-image synthesis or large manipulated regions in object-centric images, struggle to generalise to surveillance scenarios.