A high-resolution UAV RGB imagery dataset for semantic segmentation of ground covers in urban community gardens — 24 orthomosaics across five gardens in Munich (2021–2022), manually annotated into eight ground-cover classes, with Train/Val/Test splits and a patch-based version for deep learning.