Table 8 Model comparisons on parameter count.
From: Optimised MobileNet for very lightweight and accurate plant leaf disease detection
Model Name | Trainable Parameters | Non Trainable Parameters | Total Parameters |
|---|---|---|---|
Xception Network12 | 20,815,148 | 54,528 | 20,869,676 |
Densenet-12112 | 6,966,020 | 81,472 | 7,047,492 |
Alexnet12 | 46,764,612 | 1,216 | 46,765,828 |
VGG-1612 | 107,038,538 | 0 | 107,038,538 |
Resnet-5012 | 23,542,788 | 53,120 | 23,595,908 |
EfficientNet B212 | 7,706,630 | 67,575 | 7,774,205 |
SoyNet Model12 | 1,338,148 | 0 | 1,338,148 |
V\(^2\)PlantNet | 382,246 | 7,040 | 389,286 |
