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Synthetic Image Detection research benchmarks – Page 4 · SOTA2 Research

Synthetic Image Detection

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Segmind Vega (open-source)

0.823AUCROC

9

Feb 26, 2026

Stable-Cascade open-source

0.882AUCROC

9

Feb 26, 2026

SSD-1B open-source

0.827AUCROC

9

Feb 26, 2026

Seg-MOE open-source

79.6AUCROC

9

Feb 26, 2026

SDXL (open-source)

0.814AUCROC

9

Feb 26, 2026

SDXL-DPO (open-source)

0.881AUCROC

9

Feb 26, 2026

Playground open-source 2.5

0.778AUCROC

9

Feb 26, 2026

PixArt-alpha (open-source)

85.4AUCROC

9

Feb 26, 2026

Kandinsky 3 (open-source)

84.5AUCROC

9

Feb 26, 2026

Kandinsky 2 (open-source)

0.758AUCROC

9

Feb 26, 2026

Imagen (proprietary)

80.7AUCROC

9

Feb 26, 2026

Midjourney v5/6 (proprietary)

0.75AUCROC

9

Feb 26, 2026

DALL-E 3 (proprietary)

0.759AUCROC

9

Feb 26, 2026

DALL-E 2 (proprietary)

85.4AUCROC

9

Feb 26, 2026

Diffusion Model Dataset Mean

95Accuracy

9

Feb 26, 2026

98.7ACC

9

Feb 26, 2026

95.9Accuracy

9

Feb 26, 2026

98.6Accuracy

9

Feb 26, 2026

100Accuracy

9

Feb 26, 2026

98.8Accuracy

9

Feb 26, 2026

86.6Accuracy

9

Feb 26, 2026

0.993ACC

9

Feb 26, 2026

Surrogate StyleCLIP 1 (test)

81.9Accuracy

7

Jun 4, 2026

WildRF Mean (test)

95.9Accuracy

7

May 27, 2026

98.32Accuracy

6

Feb 26, 2026

Page 4 of 6

Popular datasets

GenImage UniversalFakeDetect DALL-E Golden Retriever LDM

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