zhipeixu/fakeshield-v1-22b

FakeShield Model Card

Model details

Model type: FakeShield is a multi-modal framework for explainable image forgery detection and localization (IFDL). It integrates multi-modal large language models (MLLMs) to analyze manipulated images, generate tampered region masks, and provide explanations. The model includes weights for both DTE-FDM and MFLM components.

The model repository includes weights for both DTE-FDM and MFLM components.

Model date: fakeshield-v1-22b was trained in September 2024.

Paper or resources for more information: https://zhipeixu.github.io/projects/FakeShield/

License

FakeShield is licensed under the Apache 2.0 License.

Where to send questions or comments about the model:

https://github.com/zhipeixu/FakeShield/issues

Intended use

Primary intended uses: The primary use of FakeShield is used for research on image forgery detection and localization, enhancing transparency in media forensics.

Primary intended users: The primary intended users of the model are researchers, forensic analysts, journalists, and AI practitioners in media forensics and misinformation detection.