AI Image Detection on VQDM
67.95AccuracyGLCM+CNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GLCM+CNNTrained on=Stable Diffusion2025.12 | 67.95 | 66.68 | 68.89 | 67.77 | |
| FreqNetTrained on=Stable Diffusion2025.12 | 64.87 | 58.8 | 99.33 | 73.87 | |
| LBP+CNNTrained on=Stable Diffusion2025.12 | 62.39 | 61.02 | 63.24 | 62.18 | |
| DIRETrained on=Stable Diffusion2025.12 | 57.88 | 54.34 | 98.73 | 70.1 | |
| Our classifierTrained on=Stable Diffusion2025.12 | 57.17 | 53.87 | 99.65 | 69.94 | |
| ResNet50Backbone=ResNet50, Training Data=Stable Diffusion2025.12 | 57.17 | 53.87 | 99.65 | 69.94 | |
| ViTModel Architecture=ViT, Training Dataset=Stable Diffusion2025.12 | 54.79 | 52.59 | 97.13 | 68.24 |