The MAMe dataset is a novel image classification task focused on museum art mediums. Data is gathered from three different museums:

• The Metropolitan Museum of Art of New York.
• The Los Angeles County Museum of Art.
• The Cleveland Museum of Art.

Data from all museums is aggregated by art experts into 29 classes of mediums (i.e., materials and techniques).

The MAMe dataset is originaly introduced in this publication. Although here in the kaggle platform we only provide a 256x256 images version of the dataset, the original MAMe dataset with high-resolution images of variable shape can be download from its oficial website. Additionally, a set of baseline models and code used to train them is available in the oficial github repository.

Acknowledgements

We would like to thank Gema Campo & Nina Viladrich for their collaboration on the development of the MAMe dataset. Also thank Eduard Gimenez & David Puiggròs for their support on the publication of the dataset in this platform.