Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
Tags:
art
License:
| license: unknown | |
| task_categories: | |
| - image-classification | |
| language: | |
| - en | |
| tags: | |
| - art | |
| pretty_name: AI Art & real Art | |
| size_categories: | |
| - 1K<n<10K | |
| # 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) | |
| *** Dowload link : https://drive.google.com/file/d/1EjrfIZ6vw7UQUwB0Cj9m8yUAbNHp87xJ/view?usp=drive_link | |
| *** Our 4 models provide a code to handle the labels. | |
| *** 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. | |
| ### Dataset Description | |
| Art type : many art styles such as oil , water , drawings ect. | |
| Images of art from Ai generators and Images of art human painters | |
| ### 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/ | |
| 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 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 of art 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 has of images contain 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. | |
| ## Dataset Structure | |
| *** ela_output folder needed only for cnn+ela Model we created! | |
|  | |