Table 3 Employed deep network characteristics in this experiment
From: Using transfer learning-based plant disease classification and detection for sustainable agriculture
Models | Size (Megabytes) | Parameter (Millions) | Depth | Input Image Sizes | Reference |
|---|---|---|---|---|---|
DenseNet201 | 80 | 20.2 | 402 | 224 x 224 x 3 | [60] |
ResNet101 | 171 | 44.7 | 209 | 224 x 224 x 3 | [67] |
ResNet50 | 98 | 25.6 | 107 | 224 x 224 x 3 | [67] |
GoogleNet | 528 | 60. 6 | 22 | 224 x 224 x 3 | [64] |
AlexNet | 227 | 61.0 | 8 | 227 x 227 x 3 | [67] |
ResNet18 | 18 | 11.7 | 44 | 224 x 224 x 3 | [60] |
EfficientNetB7 | 256 | 66.7 | 438 | 224 x 224 x 3 | [76] |
NASNetMobile | 23 | 5.3 | 389 | 224 x 224 x 3 | [77] |
ConvNeXtSmall | 192 | 50.2 | 28.6 | 224 x 224 x 3 | [78] |