Table 1 Performance comparison of deep learning models for street-level safety perception assessment
From: Vision AI reveals waste-safety perception relationships in urban environments
Model | Precision | Recall | F1 score | Accuracy | |||
|---|---|---|---|---|---|---|---|
| Â | Safe | Unsafe | Safe | Unsafe | Safe | Unsafe | Â |
ResNet-50 | 0.739 | 0.757 | 0.753 | 0.743 | 0.746 | 0.750 | 0.748 |
MobileNet-V2 | 0.719 | 0.775 | 0.789 | 0.702 | 0.753 | 0.737 | 0.745 |
EffcientNet-B0 | 0.723 | 0.754 | 0.757 | 0.720 | 0.740 | 0.736 | 0.738 |
ShuffleNet-V2 | 0.723 | 0.754 | 0.757 | 0.720 | 0.740 | 0.736 | 0.678 |