| Datasets |
Table 1 |
| Apply dataset shuffling? |
Yes (Random) |
| Input image size |
(128 × 128 × 3) |
| Hyperparameters metaheuristic optimizer |
Manta-ray foraging algorithm (MRFO) |
| Train split ratio |
85% to 15% (i.e., 85% for training (and validation) and 15% for testing) |
| MRFO population size |
10 |
| MRFO iterations count |
10 |
| Epochs number |
5 |
| O/P activation function |
SoftMax |
| Pre-trained models |
InceptionV3, Xception, EfficientNetB7, NASNetLarge, VGG19, SeNet154, DenseNet201, and ResNet152V2 |
| Pre-trained parameters initializers |
ImageNet |
| Hyperparameters |
Table 3 |
| Scripting language |
Python |
| Python major packages |
Tensorflow, Keras, NumPy, OpenCV, and Matplotlib |
| Working environment |
Google Colab with GPU (i.e., Intel(R) Xeon(R) CPU @ 2.00 GHz, Tesla T4 16 GB GPU, CUDA v.11.2, and 12 GB RAM) |
