Welcome to the final project assignment. For this project, we will be working on the Face Mask detection problem. The Dataset contains images of people wearing masks and people not wearing masks. The database contains 10,000 colored images in the training folder, 800 images in the validation folder, and 992 images in the test folder. Your task is to create a CNN model for identifying whether a person in the image is wearing a mask or not. Please perform the following tasks

• Download the database

• Create test, train, and validation directory variables

• Create train and validation data generator with target size (128,128)

• Train a CNN model

• Train a model with VGG19 model

• Use callbacks to save your model at every step

• Training may take several hours, so use 5 to 10 epochs only

You can download the data from here: https://drive.google.com/uc?export=download&id=1FtuU7l-DMUryIKs4q5FQ8uxzkq4YmDsk

You can download the solution from here:https://drive.google.com/uc?export=download&id=12rKmIRhTTthS3R6nhfr2ArCG2lYEbkkR