ArtDet: Machine Learning Software for Automated Detection of Art Deterioration in Easel Paintings

This is the official implementation code of the paper "ArtDet: Machine Learning Software for Automated Detection of Art Deterioration in Easel Paintings" (Paper)

[[Paper]Soon] [Dataset] [BibTeX]

Installation

1. Clone our repository:

git clone https://github.com/frangam/artdet.git
cd artdet

2. Set up Python 3.12 and create the environment

1. Install Python 3.12 (if not already installed). On macOS or Linux:

   sudo apt update
   sudo apt install -y python3.12 python3.12-venv python3.12-dev

   For macOS (if using Homebrew):

   brew install [email protected]

2. Create a virtual environment using Python 3.12:

   python3.12 -m venv venv

3. Activate the environment:

   On macOS/Linux:

   source venv/bin/activate

   On Windows:

   .\venv\Scripts\activate

3. Install Mask-RCNN updated version to work with Tensorflow 2:

git clone https://github.com/alsombra/Mask_RCNN-TF2.git
cd Mask_RCNN-TF2
pip install -r requirements.txt
python setup.py install

4. Install our custom dependencies:

cd ..
pip install -r requirements.txt

5. Run the web app:

python src/run.py

Dataset

You can download our ArtInsight Dataset at:

Model Checkpoints

Click the links below to download the checkpoint for the corresponding model type.

• last

Citation

If you use our code in your research, please use the following BibTeX entry:

@article{Garcia-Moreno-PWPF,
  title={ArtDet: Machine Learning Software for Automated Detection of Art Deterioration in Easel Paintings},
  author={Garcia-Moreno, Francisco Manuel and Cortés Alcázar, Jesús and del Castillo de la Fuente, Jose Manuel  and Rodríguez-Simón, Luis Rodrigo and Hurtado-Torres, María Visitación},
  year={2024},
  journal={pending},
  doi={pending},
}

And also cite our Dataset:

(Submitted to)

@article{Garcia-MorenoArtInsight,
  title={ArtInsight: A Detailed Dataset for Detecting Deterioration in Easel Paintings},
  author={Garcia-Moreno, Francisco Manuel and del Castillo de la Fuente, Jose Manuel  and Rodríguez-Simón, Luis Rodrigo and Hurtado-Torres, María Visitación},
  year={2024},
journal={Data in Brief}
  doi={pending},
  url={},
}