A dataset for tree-crops prediction in Sentinel-2 imagery

The dataset was designed for semantic-segmentation-based deep learning models and utilized in the AI4Copernicus service: "Deep network for pixel-level classification of S2 patches" in which a U-net neural network was used in order to create an AI model for tree-crops prediction.
The dataset needs to be enriched with more data. However, it can be used for initial experimentation with a U-net neural network and satellite imagery.