Table 4 Comparison of model architectures from a complexity perspective.
Model name | Number of layers | Number of parameters | Model size | Num. of features extracted from the last convolution layer |
|---|---|---|---|---|
ResNet50 | 188 | 24,165,764 | 290.50MB | 2048 |
MobileNetV2 | 167 | 1,763,508 | 21.80MB | 1280 |
EfficientNet-B0 | 250 | 4,431,015 | 51.60MB | 1280 |
ConvNeXtTiny | 164 | 28,070,500 | 337.80MB | 768 |