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A Streamlit aaplication to distinguish between AI-generated and real images. Utilizing the TensorFlow framework, the core model is based on EfficientNetB0, which has been fine-tuned on a custom dataset containing both fake and real images.

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Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
DATA		DATA
README.md		README.md
app.py		app.py
image_classification.ipynb		image_classification.ipynb
requirements.txt		requirements.txt

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Image-Classification-Is-it-Real-or-generated-by-AI-

This project is an application developed with Streamlit to distinguish between AI-generated and real images. Utilizing the TensorFlow framework, the core model is based on EfficientNetB0, which has been fine-tuned on a custom dataset containing both fake and real images. The application allows users to upload images, which are then preprocessed and fed into the model to predict whether the image is AI-generated or real. The results provide a user-friendly interface for verifying digital image authenticity.

Setup :

git clone https://github.com/nouhabenhamada/Image-Classification-Is-it-Real-or-generated-by-AI.git

cd Image-Classification-Is-it-Real-or-generated-by-AI

pip install -r requirements.txt

Run the Application:

Run the notebook to save the model, then run streamlit.

streamlit run app.py

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A Streamlit aaplication to distinguish between AI-generated and real images. Utilizing the TensorFlow framework, the core model is based on EfficientNetB0, which has been fine-tuned on a custom dataset containing both fake and real images.

tensorflow classification streamlit efficientnetb0

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