Bruges Road Surface Damage & Texture Classification (Case Study) Location: Bruges, Belgium Project Overview Nazru’s AI platform was deployed in Bruges, Belgium, to automatically detect and classify road surface damagesBruges Road Surface Damage & Texture Classification (Case Study)
Berlin Multi‑Class Land Cover & Transportation Mapping (Case Study) Location: Berlin, Germany Project Overview Nazru’s AI platform was deployed to map Berlin’s urban surface into 9 primary classes plus additionalBerlin Multi‑Class Land Cover & Transportation Mapping (Case Study)
Roadside Infrastructure Detection (Case Study) Location: Munich, Germany Project Overview Nazru’s AI platform was deployed to automatically detect and classify roadside infrastructure elements into five distinct categories: curbstone, fence, guardrail,Roadside Infrastructure Detection (Case Study)
Road Damage Detection & Classification (Case Study) Location: Germany Project Overview Nazru’s AI platform was deployed to automatically detect and classify road surface damages into three distinct categories: cracks, patches,Road Damage Detection & Classification (Case Study)
Land Use/Land Cover (LULC) Classification Dataset – 10m Resolution Dataset Overview This dataset provides a high-resolution (10 meters) Land Use and Land Cover (LULC) classification map, segmenting geographic areas intoLand Use/Land Cover (LULC) Classification Dataset – 10m Resolution
The Application of Geospatial Data in Civil Engineering for Telecommunications Projects Integration of Telecommunications in Civil Engineering Projects Telecommunications and utility infrastructure serve as critical foundations for modern society, enablingThe Application of Geospatial Data in Civil Engineering for Telecommunications Projects