Analytic Catalog
Splicing image detector
This is a Splicing Image detector. Image pixels are assigned a likelihood of being not authentic. The range of output is displayed as a greyscale heatmap. Initially developed for MediFor, it is of general purpose and is not focused on faces. It learns inconsistencies in optical properties of background and spliced regions. Trained on different datasets but uses the latest weights from Dec 2020. A heatmap image, 0-255 with highest value suggesting tampered pixel.
Supported media types: Image
Contact
Yaser Yacoob yaser@umiacs.umd.edu
Resource Links
Source code: https://gitlab.umiacs.umd.edu/yaser/imagesplicegsrnet
License: MIT License