Explainable Gastronomic Region Classification Using Dish Image Colors

Summary

We classify gastronomic regions using interpretable colour features and dish-type indicators. The study compares several models with a stratified baseline and examines which features contribute to the predictions.

Scope and limitations

The selected, balanced sample and automatically generated labels limit generalisation. The model uses dish-type indicators as well as colour.

Citation and source

V. Casales-Garcia; Aldan Jay; L. Museros; I. Sanz; L. Gonzalez-Abril. (2026). Explainable Gastronomic Region Classification Using Dish Image Colors. International Journal of Computational Intelligence Systems · 19 · 224.

DOI: 10.1007/s44196-026-01289-w · CC BY-NC-ND 4.0

@article{casalesgarcia2026explainable,
  title = {Explainable Gastronomic Region Classification Using Dish Image Colors},
  author = {Casales-Garcia, V. and Jay, Aldan and Museros, L. and Sanz, I. and Gonzalez-Abril, L.},
  journal = {International Journal of Computational Intelligence Systems},
  year = {2026},
  volume = {19},
  number = {1},
  eid = {224},
  doi = {10.1007/s44196-026-01289-w},
  url = {https://doi.org/10.1007/s44196-026-01289-w},
  note = {CC BY-NC-ND 4.0}
}