# AI-generated image detection on PromptWorld Gemini 1K (test)

Source: [AI-generated image detection on PromptWorld Gemini 1K (test)](<https://www.sota2.com/research/sota/ai-generated-image-detection-on-promptworld-gemini-1k-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-08T07:02:43.780Z

Evaluation of AI-generated image detection performance on the test split of the PromptWorld Gemini 1K dataset, reporting Accuracy and Average Precision.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | AI-generated image detection |
| Dataset (including any stated split) | PromptWorld Gemini 1K (test) |
| Metric | Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy](<https://www.sota2.com/research/sota/ai-generated-image-detection-on-promptworld-gemini-1k-test.md?metric=Accuracy>): Higher is better; unit: PERCENT.

- [Average Precision](<https://www.sota2.com/research/sota/ai-generated-image-detection-on-promptworld-gemini-1k-test.md?metric=Average%20Precision>): Higher is better; unit: PERCENT.

## Recorded results

| Method | Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| DRIFT | 93.2 | Not recorded | 6a264c9990966ade919beaa0 |
| NPR | 91.9 | Not recorded | 6a264c9990966ade919beaa0 |
| FIRE | 78.3 | Not recorded | 6a264c9990966ade919beaa0 |
| FerretNet | 50.9 | Not recorded | 6a264c9990966ade919beaa0 |
| RIGID | 40.3 | Not recorded | 6a264c9990966ade919beaa0 |

### DRIFT

Accuracy: 93.2. Result ID: 6a266910fbc373592c22a7ca.

[Reporting paper](<https://www.sota2.com/research/paper/6a264c9990966ade919beaa0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a264c9990966ade919beaa0.md>)

Recorded evaluation configuration: {"Training data":"Only real data"}. This record does not assert independent reproduction.

### NPR

Accuracy: 91.9. Result ID: 6a266910fbc373592c22a7c9.

[Reporting paper](<https://www.sota2.com/research/paper/6a264c9990966ade919beaa0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa71821e209131cea51af9.md>)

Recorded evaluation configuration: {"Ref":"CVPR'24","Training data":"Labelled real/fake data"}. This record does not assert independent reproduction.

### FIRE

Accuracy: 78.3. Result ID: 6a266910fbc373592c22a7c6.

[Reporting paper](<https://www.sota2.com/research/paper/6a264c9990966ade919beaa0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa772c1e209131cea71950.md>)

Recorded evaluation configuration: {"Ref":"CVPR'25","Training data":"Labelled real/fake data"}. This record does not assert independent reproduction.

### FerretNet

Accuracy: 50.9. Result ID: 6a266910fbc373592c22a7c8.

[Reporting paper](<https://www.sota2.com/research/paper/6a264c9990966ade919beaa0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7b991e209131cea89642.md>)

Recorded evaluation configuration: {"Ref":"NeurIPS'25","Training data":"Labelled real/fake data"}. This record does not assert independent reproduction.

### RIGID

Accuracy: 40.3. Result ID: 6a266910fbc373592c22a7c7.

[Reporting paper](<https://www.sota2.com/research/paper/6a264c9990966ade919beaa0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa73601e209131cea5c073.md>)

Recorded evaluation configuration: {"Ref":"Arxiv'25","Training data":"Training-free"}. This record does not assert independent reproduction.

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