A Data Set and a Convolutional Model for Iconography Classification in Paintings. Federico Milani and Piero Fraternali [Paper]
This repository includes the ResNet50 architecture and a pretrained model on the ArtDL data set. You will also find the classes on which the model has been trained and the train, val and test sets.
The official website of ArtDL is artdl.org.
The data set can be found here.
If you find the data set useful, please consider citing our paper using the following BibTeX entry.
@article{milani2021dataset,
title={A Dataset and a Convolutional Model for Iconography Classification in Paintings},
author={Milani, Federico and Fraternali, Piero},
journal={Journal on Computing and Cultural Heritage (JOCCH)},
volume={14},
number={4},
pages={1--18},
year={2021},
publisher={ACM New York, NY, USA}
}