Update README.md

README.md

@@ -21,6 +21,9 @@ The dataset contains of 2,839 images: training set --> 2560  ,  test set -> 279.
 
 The data is balanced in each set , 50% is label 0 (as real image) --> 50% label 1 (Ai generated image)
 
+dowload link : https://drive.google.com/file/d/1EjrfIZ6vw7UQUwB0Cj9m8yUAbNHp87xJ/view?usp=drive_link
+*** our 4 models provide a code to handle the labels so you can just extract the winrar folders in the same folder where you store the python code.
+
 ### important :
 
 The dataset is already ordered by folders so you can dowload/clone the repository and use the csv files to assing the labels (0,1) or do it with code.