Table 8.
Parameters and various accuracy measures of pretrained models.
Model | Trainable Parameters | Precision (%) | Recall (%) | F1 Score (%) |
---|---|---|---|---|
InceptionV3–GRU | 12,773,066 | 81.00 | 81.00 | 81.00 |
Xception–GRU | 28,501,706 | 82.50 | 81.00 | 81.00 |
DenseNet169–GRU | 16,164,554 | 84.90 | 82.90 | 83.00 |
VGG16–GRU | 5,105,354 | 87.70 | 86.00 | 86.00 |