| Model—Blur | Evaluation Index | ||||
| Recall | Selectivity | Precision | Accuracy | F1 Score | |
| ResNet 18—0 | 0.2892 | 0.0069 | 0.3092 | 0.0189 | 0.2797 |
| ResNet 18—10 | 0.2977 | 0.0076 | 0.3085 | 0.0192 | 0.284 |
| ResNet 18—20 | 0.302 | 0.0082 | 0.307 | 0.0198 | 0.285 |
| ResNet 18—30 | 0.1739 | 0.0112 | 0.2096 | 0.0369 | 0.1482 |
| ResNet 18—40 | 0.1138 | 0.0044 | 0.2012 | 0.0374 | 0.1155 |
| ResNet 18—50 | 0.0664 | 0.0043 | 0.1677 | 0.0375 | 0.0726 |
| ResNet 34—0 | 0.2911 | 0.0074 | 0.3027 | 0.019 | 0.2786 |
| ResNet 34—10 | 0.2997 | 0.0074 | 0.3027 | 0.0189 | 0.2831 |
| ResNet 34—20 | 0.2992 | 0.0076 | 0.3084 | 0.0197 | 0.2858 |
| ResNet 34—30 | 0.3025 | 0.0081 | 0.3058 | 0.0197 | 0.286 |
| ResNet 34—40 | 0.2982 | 0.0081 | 0.3123 | 0.0202 | 0.2865 |
| ResNet 34—50 | 0.306 | 0.0083 | 0.3082 | 0.0201 | 0.2888 |
| VGG 11—0 | 0.3066 | 0.012 | 0.3725 | 0.0259 | 0.2927 |
| VGG 11—10 | 0.2754 | 0.0083 | 0.3872 | 0.0269 | 0.2824 |
| VGG 11—20 | 0.2773 | 0.0109 | 0.3738 | 0.0268 | 0.2779 |
| VGG 11—30 | 0.2729 | 0.011 | 0.371 | 0.0268 | 0.2744 |
| VGG 11—40 | 0.2679 | 0.0115 | 0.3638 | 0.0264 | 0.2686 |
| VGG 11—50 | 0.2926 | 0.0163 | 0.3253 | 0.0274 | 0.2685 |
| AlexNet—0 | 0.2785 | 0.0088 | 0.3767 | 0.0269 | 0.2828 |
| AlexNet—10 | 0.3019 | 0.0108 | 0.3739 | 0.026 | 0.2964 |
| AlexNet—20 | 0.3017 | 0.0111 | 0.3793 | 0.0254 | 0.2966 |
| AlexNet—30 | 0.3046 | 0.0125 | 0.3604 | 0.0254 | 0.2894 |
| AlexNet—40 | 0.2633 | 0.0089 | 0.373 | 0.0262 | 0.2691 |
| AlexNet—50 | 0.267 | 0.0104 | 0.3641 | 0.0264 | 0.2685 |