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The Cartographic Sign Detection Dataset (CaSiDD) comprises 796 manually annotated historical map samples, corresponding to 18,750 cartographic signs, such as icons and symbols. Moreover, the signs are categorized into 24 distinct classes, such as tree, mill, hill, religious edifice, or grave. The original images are part of the Semap dataset [1].
The dataset is published in the context of R. Petitpierre's PhD thesis: Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration [2]. Details on the annotation process and statistics on the annotated cartographic signs are provided in the manuscript.