clpbc/BR-Gen
Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach The Broader Region Generated (BR-Gen) dataset was proposed in the ArXiv preprint paper "Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach". Dataset(BR-Gen) This dataset contains150k localized generated images, forged by traditional inpainting methods (MAT, LaMa) and text-guided… See the full description on the dataset page: https://huggingface.co/datasets/clpbc/BR-Gen.
| Author / organization | clpbc |
|---|---|
| License (as declared) | unknown |
| Downloads | 618 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 19 April 2025 |
| Last updated at source | 22 April 2025 |
Recent changes
- 16 Oct 2026 Description: Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach The Broader Region Generated (BR-Gen) dataset was proposed in the ArXiv preprint paper "Zooming In on Fakes: A Novel Dataset → Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach The Broader Region Generated (BR-Gen) dataset was proposed in the ArXiv preprint paper "Zooming In on Fakes: A Novel Dataset
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