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