Modelpublic

NYUAD-ComNets/NYUAD_AI-generated_images_detector

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

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Model Card

AI-generatedimagesdetector

This model achieves the following results on the evaluation set:

—Loss: 0.0987
—Accuracy: 0.9736

To utilize this model

python


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)

Training and evaluation data

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0431	0.55	100	0.1672	0.9568
0.0139	1.1	200	0.2338	0.9398
0.0201	1.66	300	0.1291	0.9655
0.0023	2.21	400	0.1147	0.9709
0.0033	2.76	500	0.0987	0.9736

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}
}