misc{https://doi.org/10.25577/563Q-QD29,
  author = {{LIVE & IRIMAS & THEIA | Data Terra}},
  title = {{Jeux de données d’intelligence artificielle pour la classification de l’occupation du sol à partir d’imagerie satellitaire. EOST. (Collection)}},
  year = {2026},
  doi = {10.25577/563Q-QD29},
  url = {https://doi.theia.data-terra.org/ai4lcc/},
  abstract = {The Artificial Intelligence benchmark datasets for Land Cover Classification from Satellite Imagery (AI4LCC) dataset collection is an initiative of the Continental Surfaces Data and Services Hub – THEIA, part of the DATA TERRA Research Infrastructure for the distribution of AI-based training sets for the classification of landcover from satellite imagery. The datasets can be used to train a classical machine learning or more advanced Deep learning algorithm to process information},
  type = {service},
  copyright = {Creative Commons License -  Attribution Non Commercial 4.0 International},
  publisher = {EOST}
}