NYUAD AI Generated Images Detector

🚀 AI-generated_images_detector

This model is designed to detect AI - generated images and has achieved high accuracy in evaluation.

🚀 Quick Start

This model achieves the following results on the evaluation set:

• Loss: 0.0987
• Accuracy: 0.9736

Here is an example of how to use this model:

from PIL import Image
from transformers import pipeline
classifier = pipeline("image - classification", model="NYUAD-ComNets/NYUAD_AI-generated_images_detector")
image=Image.open("path_to_image")
pred=classifier(image)
print(pred)

💻 Usage Examples

Basic Usage

from PIL import Image
from transformers import pipeline
classifier = pipeline("image - classification", model="NYUAD-ComNets/NYUAD_AI-generated_images_detector")
image=Image.open("path_to_image")
pred=classifier(image)
print(pred)

📚 Documentation

Training and evaluation data

Training results

BibTeX entry and citation info

@article{aldahoul2024detecting,
  title={Detecting AI-Generated Images Using Vision Transformers: A Robust Approach for Safeguarding Visual Media Integrity},
  author={AlDahoul, Nouar and Zaki, Yasir},
  journal={Available at SSRN},
  year={2024}
}

@misc{ComNets,
      url={https://huggingface.co/NYUAD-ComNets/NYUAD_AI-generated_images_detector](https://huggingface.co/NYUAD-ComNets/NYUAD_AI-generated_images_detector)},
      title={NYUAD_AI-generated_images_detector},
      author={Nouar AlDahoul, Yasir Zaki}
}

📄 License

This model is licensed under the Apache 2.0 license.