This CNN model will take a cell image as an input and then it will classify as one of the two classes :- Parasatic or Uninfected
Dataset link :- https://www.kaggle.com/iarunava/cell-images-for-detecting-malaria/downloads/cell-images-for-detecting-malaria.zip/1
Steps to use this model :- 1 -> Download the source code and place it in a file \n 2 -> Download the data set and unzip it in the same file as the source code \n 3 -> Now , the file that you just unzipped contains two folder , named :-Parasitized and Uninfected. \n 4 -> Now you change the name of the unzipped folder as train. \n 5 -> Create a new folder and name it Test and further create two more folders within it named :-Parasitized and Uninfected. \n 6 -> Cut 300 images from "Train/Parasitized" and paste it to "Test/Parasited". \n 7 -> Cut 300 images from "Train/Uninfected" and paste it to "Test/Uninfected". \n 8 -> Change the path in the model as required. \n
