Dataset · Hugging Face

MoeNew/OmniFake

Name: OmniFake
Creator: MoeNew
License: mit
Keywords: task_categories:image-classification, language:en, license:mit, size_categories:1M<n<10M, modality:image, arxiv:2509.25682, region:us, image, deepfake-detection, ai-generated-image, synthetic-image, image-forensics, source-attribution, computer-vision

OmniFake OmniFake is a large-scale, well-categorized synthetic image dataset introduced in Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples. It contains 1.17 million AI-generated images from 45 distinct generators, paired with 1.17 million real images, designed for research on AI-generated image (AIGI) detection and source attribution. For usage instructions and experimental protocols, please refer to the OmniDFA GitHub repository.… See the full description on the dataset page: https://huggingface.co/datasets/MoeNew/OmniFake.

View on Hugging FaceReport an issue

Author / organization	MoeNew
License (as declared)	mit
Downloads	1.4K (as reported by Hugging Face)
Likes	0
Created	26 June 2026
Last updated at source	5 July 2026

imagedeepfake-detectionai-generated-imagesynthetic-imageimage-forensicssource-attributioncomputer-vision

Embed this entry

<iframe src="https://silytics.si/embed/item/cbd24d80-b63f-4fbc-abd9-3459db73eeb6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,424 now (-19 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.