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MarilineDelgado/
capsteg

Name: capsteg
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🧠 CapSteg - Model for Steganalysis

This repository contains a TensorFlow-trained model saved in saved_model format, designed to detect images manipulated through steganographic techniques. The model uses a Transformer-based architecture and is optimized for grayscale image inputs of size 256x256.

Model Details

Expected input: Grayscale image of shape (256, 256, 1)
Task: Binary classification (stego vs cover)
Framework: TensorFlow 2.x
Format: saved_model

Usage

You can download and load this model in any environment that supports TensorFlow.

Requirements

pip install tensorflow huggingface_hub

Download and Load

python

from huggingface_hub import snapshot_download
import tensorflow as tf

# Download the model from Hugging Face Hub
model_path = snapshot_download(repo_id="MarilineDelgado/capsteg")

# Load the model in SavedModel format
model = tf.keras.models.load_model(model_path)

Example Prediction

python

import numpy as np

# Test image (1, 256, 256, 1) - grayscale
image = np.random.rand(1, 256, 256, 1).astype(np.float32)

# Make prediction
prediction = model.predict(image)

print("Prediction:", prediction)

License

This model is licensed under the MIT License. You are free to use and modify it for academic or personal purposes.

Contact

Created by MarilineDelgado.
For questions or collaboration, please open an issue or contact me through the platform.