Tree species annotations for deep learning

The dataset contains >10,000 labeled tree species and the model weights for tree species detection. Format: Image tiles (.twf) with a 256 × 256 pixel size stride in the PASCAL VOC format. The labels are saved as a .xml. The RGB orthophotos are open source and can be accessed at: https://www.swisstopo.admin.ch/de/geodata/images/ortho/swissimage10.html. The methodology used to create the data is presented in Beloiu et al. 2023, Individual tree-crown detection and species identification in heterogeneous forests using aerial RGB imagery and deep learning, Remote sensing. Table 1. Tree species and the number of labels available for them. Scientific name Common name Class Total Picea abies Norway spruce 10 3459 Abies alba Silver fir 11 2375 Pinus sylvestris Scots pine 15 599 Fagus sylvatica European beech 50 4181 Total 1061