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Argus

Argus is an AI-generated image detection research project focused on reproducible binary classification (Real vs. AI-generated) with PyTorch baselines and scaffolding for probing frozen JEPA representations.

Setup

  • Python 3.10+
  • Install dependencies:
pip install -r requirements.txt

Data layout

Point training to a dataset directory with this layout:

dataset/
  real/
    image_1.jpg
    ...
  fake/
    image_1.jpg
    ...

Train baseline

python train.py --data-dir /absolute/path/to/dataset

About

Argus is Inference Foundry's attempt to study and build these detectors openly—releasing code, datasets, and findings so the community has trustworthy, reproducible tools rather than black-box API calls.

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