Update README.md

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
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
Art style : only oil paintings

Images of art from Ai generators and Images of art human painters

Dataset Sources
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/

Real images :

WikiArt -https://www.wikiart.org/
The Met -https://www.metmuseum.org/art/collection
Unsplash -https://unsplash.com/
google image search
google art - https://artsandculture.google.com/partner/the-metropolitan-museum-of-art
art museum/gallery sites
Uses
This dataset created for a model that can distinguish between real and Ai images of Oil painting art.

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
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.

README.md

@@ -1,3 +1,12 @@
----
-license: unknown
----
+---
+license: unknown
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- art
+pretty_name: AI Art & real Art
+size_categories:
+- 1K<n<10K
+---