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Dataset Card: Midjourney, DALL-E, Stable Diffusion vs Real Images
Description
Dataset de classification binaire pour détecter les images générées par IA (Midjourney, DALL-E, Stable Diffusion) vs images réelles.
Dataset Structure
Train set: 5,000 images
- Real: 2,500 images
- Fake (AI-generated): 2,500 images
Test set: 1,000 images
- Real: 500 images
- Fake (AI-generated): 500 images
Features
{
"image": Image,
"label": "real" | "fake"
}
Usage
from datasets import load_dataset
dataset = load_dataset("julienlucas/midjourney-dalle-sd-dataset")
# Accéder au train set
train_data = dataset["train"]
# Accéder au test set
test_data = dataset["test"]
Citation
@dataset{midjourney_dalle_sd_dataset,
title={Midjourney, DALL-E, Stable Diffusion vs Real Images Dataset},
author={julienlucas},
year={2024},
url={https://huggingface.co/datasets/julienlucas/midjourney-dalle-sd-dataset}
}
License
MIT License
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