Datasetpublic

julienlucas/midjourney-dalle-sd-dataset

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" |… See the full description on the dataset page: https://huggingface.co/datasets/julienlucas/midjourney-dalle-sd-dataset.

sourceHugging Facemitupdated 10mo agoView on Hugging Face

1likes116downloads

Dataset Card

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

python

{
    "image": Image,
    "label": "real" | "fake"
}

Usage

python

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

bibtex

@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