This dataset includes drone (Uncrewed Aerial Vehicles, UAV) orthomosaics (RGB, n =32) of Spekboom (Portulacaria afra) acquired between 2020-21 in South Africa. The resolution (ground sampling distance) of the orthomosaics amounts to approx. 1 cm. The orthomosaics are partially labelled (polygon shapefiles) in terms of Spekboom cover. Each orthomosaic comes with an AOI (area of interest, polygon shapefile) that indicates the areas where the labelling was performed. Within the extent of this AOI Spekboom canopies are assumed to be completely delineated (by visual interpretation). For visual inspection of the imagery we recommend to generate image pyramids since the image data has a very high spatial resolution. Details on the dataset are mentioned in the corresponding publication: Galuszynski, N. C., Duker, R., Potts, A. J., & Kattenborn, T. (2022). Automated mapping of Portulacaria afra canopies for restoration monitoring with convolutional neural networks and heterogeneous unmanned aerial vehicle imagery. PeerJ, 10, e14219. https://doi.org/10.7717/peerj.14219 https://peerj.com/articles/14219/