--- a
+++ b/Projects/Augmentation/Augmentation.py
@@ -0,0 +1,54 @@
+############################################################################################
+#
+# Project:       Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project
+# Repository:    ALL Detection System 2019
+# Project:       Data Augmentation
+#
+# Author:        Adam Milton-Barker (AdamMiltonBarker.com)
+# Contributors:
+# Title:         Manual Data Augmentation Class
+# Description:   Manual data augmentation class for the ALL Detection System 2019.
+# License:       MIT License
+# Last Modified: 2020-07-14
+#
+############################################################################################
+
+import matplotlib.pyplot as plt
+
+from Classes.Data import Data
+
+plt.rcParams['figure.figsize'] = (5.0, 4.0)
+plt.rcParams['image.interpolation'] = 'nearest'
+plt.rcParams['image.cmap'] = 'gray'
+
+
+class Augmentation():
+    """ ALL Detection System 2019 Manual Data Augmentation Class
+
+    Manual data augmentation wrapper class for the ALL Detection System 2019 Data Augmentation project.
+    """
+
+    def __init__(self):
+        """ Initializes the Augmentation class. """
+
+        self.Data = Data()
+
+    def processDataset(self):
+        """ Processes the AML/ALL Detection System Dataset. 
+        Make sure you have your equal amounts of positive and negative
+        samples in the Model/Data directories.
+
+        Only run this function once! it will continually make copies
+        of all images in the Settings->TrainDir directory specified
+        in Required/confs.json
+        """
+
+        self.Data.processDataset()
+
+
+print("!! Data Augmentation Program Starting !!")
+print("")
+Augmentation = Augmentation()
+Augmentation.processDataset()
+print(" Data Augmentation Program Complete")
+print("")