Table 4 Brief outline of the employed models and their key features and suitable use case scenarios.
Models | Key features | Suitable scenario |
|---|---|---|
MobileNetv2 | Lightweight and efficient | Ideal for mobile applications with limited computational resources |
ResNet-50 | Skip connections effectively address the vanishing gradient problem | Suitable for handling deeper networks and complex image tasks |
EfficientNetB0 | Scalable design optimizes accuracy | Best for scenarios where computational efficiency and accuracy are priorities |
Inceptionv3 | Captures spatial hierarchies efficiently in images | Suitable for tasks requiring detailed image analysis with complex patterns |
