convolution neural network for Posetive COVID detection 1- Create artificial images with data augmentation including (flipping, histogram equalization, rotation, translation, shearing and etc.) and add them in the dataset. 2- Display the total number of dataset color images after the data augmentation step and separate 80% of the dataset for training dataset and 20% for test dataset. 3- Create a Convolutional Neural Network (CNN) according to the following structure dataset: https://drive.google.com/drive/folders/1sce2XNpwt-N40NykEJ7IB8bkwngB1WGJ?usp=sharing