Machine learning dataset construction and model training

With preprocessed data in hand, the focus shifts to the machine learning core of the pipeline. This section covers two stages: constructing an ML-ready dataset (Section Constructing an ML-Ready Dataset) and designing and training the model (Section Model Design and Training). Each stage raises challenges that are specific to the EO context, and the decisions made at these stages directly determine the quality of the pixel-level predictions.