AI Image Detection on GLIDE
73.61AccuracyOur classifier
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Our classifierTrained on=Stable Diffusion2025.12 | 73.61 | 65.5 | 99.77 | 79.08 | |
| ResNet50Backbone=ResNet50, Training Data=Stable Diffusion2025.12 | 73.61 | 65.5 | 99.77 | 79.08 | |
| GLCM+CNNTrained on=Stable Diffusion2025.12 | 66.49 | 65.21 | 67.41 | 66.29 | |
| LBP+CNNTrained on=Stable Diffusion2025.12 | 63.41 | 65.21 | 70.18 | 67.95 | |
| ViTModel Architecture=ViT, Training Dataset=Stable Diffusion2025.12 | 61.48 | 56.74 | 96.6 | 71.49 | |
| DIRETrained on=Stable Diffusion2025.12 | 53.85 | 52.03 | 98.75 | 68.15 | |
| FreqNetTrained on=Stable Diffusion2025.12 | 51.58 | 50.8 | 99.47 | 67.26 |