Dataset · Hugging Face

Yunncheng/Mirage-Test

Name: Mirage-Test
Creator: Yunncheng
License: mit
Keywords: task_categories:image-classification, language:en, license:mit, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2511.08423, region:us, ai-generated images, ai-generated image detection

🌊 Mirage-Test Dataset Mirage-Test is a modern test-only dataset for benchmarking AI-generated image detection models. It contains real (0_real) and fake (1_fake) images across five distinct content domains, designed to evaluate generalization across diverse visual semantics. The fake images are generated using state-of-the-art generative models specifically optimized for perceptual realism and visual fidelity. 📌 This dataset is for evaluation only. No training split is… See the full description on the dataset page: https://huggingface.co/datasets/Yunncheng/Mirage-Test.

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Author / organization	Yunncheng
License (as declared)	mit
Downloads	806 (as reported by Hugging Face)
Likes	3
Created	3 December 2025
Last updated at source	4 December 2025

ai-generated imagesai-generated image detectiontest-setdeepfakeforgery-detectioncomputer-vision

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