Importing Dependencies and Dataset:

• Importing all the required libraries and packages.
• Importing the dataset.

Data Preparation:

• Splitting the dataset into target and training data.

Image Preprocessing:

• Converting color images into black and white using the map function.

Data Augmentation:

• Performing data augmentation to increase the diversity of the dataset.

One-Hot Encoding:

• Using one-hot encoding to increase the number of neurons.

Model Architecture:

• Specifying the architecture of the model using EfficientNetB0.

Model Compilation:

• Compiling the model.

Model Training:

• Training the model with a batch size of 30 and epochs set to 30.

Testing:

• Testing the model to localize ageing signs with an accurate percentage.