Table 2 Number of parameters of each architecture
From: AI-Dentify: deep learning for proximal caries detection on bitewing x-ray - HUNT4 Oral Health Study
Architecture | Number of parameters (millions) |
|---|---|
YOLOv5 M | 21.2M |
RetinaNet (ResNet50) | 36.4M |
EfficientDet D0 | 3.9M |
EfficientDet D1 M | 6.6M |