Table 9 Performance comparison of existing research techniques and the proposed approach.
Model/ approach Name | No. of classes | Type of objects | Performance metrics | |||
|---|---|---|---|---|---|---|
Standard images | Occluded images | |||||
Accuracy | F1-Score | Accuracy | F1-Score | |||
YOLOv5 + Res2Net-CBAM + CBAM 15 | 200 | Standard (Considering Occulated) | NA | NA | 86.6 | 65.45 |
MobileNetV214 | 20 | Standard | 96.79 | NA | NA | NA |
CNN + Skip Connections12 | 20 | Standard | 94 | 94 | NA | NA |
Fuzzy- Based Ensemble Learning (Proposed Work) | 55 | Standard, Occulated | 98.73 | 98.75 | 95.78 | 95.1 |
