Update README.md

README.md

@@ -19,7 +19,7 @@ This model is designed for classifying images as either 'real' or 'fake-Ai gener
 Our goal is to accurately classify the source of the image with at least 85% accuracy and achieve at least 80% in the Recall test.
 
 
-## Model Details
+
 
 ### Model Description
 
@@ -52,17 +52,12 @@ Test this model with different hyperparameters / more CNN layers
 
 ## How to Get Started with the Model
 
-Prepare Data: Organize your images into appropriate folders and preprocess them by resizing and normalizing.
-Train the Model: Use the provided code to train the model on your dataset.
-Evaluate: Test the model on a separate set of images to assess performance.
+Prepare Data: Organize your images into appropriate folders and run the code
 
 
 ## Training Details
 
 
-
-### Training Data
-
 -Dataset: DataScienceProject/Art_Images_Ai_And_Real_
 
 -Preprocessing: Images are resized, image quallity changed , ELA version of this image created.