Skip to content

README.md

Latest commit

 

History

History
32 lines (23 loc) · 556 Bytes

README.md

File metadata and controls

32 lines (23 loc) · 556 Bytes
Raw

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