Dataset · Hugging Face

KhangTruong/Tampered-Images-Combined-Dataset

Name: Tampered-Images-Combined-Dataset
Creator: KhangTruong
License: cc-by-sa-4.0
Keywords: task_categories:image-segmentation, task_categories:image-classification, license:cc-by-sa-4.0, size_categories:1K<n<10K, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2503.19653, arxiv:2502.06593, region:us, image-tampering

KhangTruong/Merged (cross_test) This benchmark combines multi-generator AI image tampering and manipulation localization datasets. Every sample contains an image and a ground-truth binary mask indicating tampered regions. Columns id (string): Unique identifier for the sample. image (image): The image (authentic or manipulated). mask (image): Single-channel ground-truth mask. For real images, this is an all-black mask (0). For fake images, white pixels (255)… See the full description on the dataset page: https://huggingface.co/datasets/KhangTruong/Tampered-Images-Combined-Dataset.

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Author / organization	KhangTruong
License (as declared)	cc-by-sa-4.0
Downloads	621 (as reported by Hugging Face)
Likes	0
Created	19 September 2026
Last updated at source	20 September 2026

image-tamperinginpaintingdeepfake-localizationgenerative-forgerydiffusion

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