Computational Cartographic Recognition: Identifying Maps, Geographic Regions, And Projections From Images Using Machine Learning

This article explores how artificial intelligence and machine learning methods can be used to understand maps, an area known as computational cartographic recognition. Four machine learning models were applied to three tasks: identifying whether an image is a map, recognizing the geographic region on the map, and recognizing the projection used on the map. Results show that the convolutional neural networks models achieved the highest performance, with an accuracy rate above 90 percent for the tasks.