Update README.md

README.md

@@ -11,19 +11,22 @@ size_categories:
 - 1K<n<10K
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+# Dataset Card for Dataset Name
 
-Dataset Card for Dataset Name
 This dataset card aims to give a basic understanding what is the data contain, where it come from and how it is structured. the purpose of such dataset exist.
 
-Dataset Details
+## Dataset Details
+
 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)
 
-Dataset Description
+### Dataset Description
+
 Art style : only oil paintings
 
 Images of art from Ai generators and Images of art human painters
 
-Dataset Sources
+### Dataset Sources [optional]
+
 AI generated images from the engines : - Ideogram -https://ideogram.ai/login - Civitai -https://civitai.com/ - Copilot
 - Hugging Face:- stable-diffusion-xl-base-1.0 - openart.ai - https://openart.ai/
 
@@ -35,15 +38,26 @@ Unsplash -https://unsplash.com/
 google image search
 google art - https://artsandculture.google.com/partner/the-metropolitan-museum-of-art
 art museum/gallery sites
-Uses
+
+## Uses
+
 This dataset created for a model that can distinguish between real and Ai images of Oil painting art.
 
-Direct Use
+### Direct Use
+
 In this days when Ai image generation become a powerful tool it is very hard to tell if an image is real or fake (Ai generated), especially when we taking about an oil painting art
 
 So we wanted to create a model that can classify images specifically oil painting in order to solve a potential froud prevention that someone wants to sell an image of art claming he painted it digitally and the truth is that this is Ai generated image
 
-Out-of-Scope Use
+### Out-of-Scope Use
+
 This dataset directed on Oil painting art the images labled 0 (real) containing art from famous painters like Vincent Van Gogh and this images used only for model traning
 
-the Ai generated images has no copyright on so you can use them as you like.
+the Ai generated images has no copyright on so you can use them as you like.
+
+## Dataset Structure
+
+
+
+
+