No title
As a crucial tool for enhancing the readability and comprehensibility of geoinformation, automated label placement in mapping applications remains a significant challenge, particularly when generalizing the label placement process for high-density maps, despite the availability of tools such as QGIS-PAL and ArcGIS-Maplex label engine. This study focuses on utilizing deep learning (DL) for road lab
