Rami is a Solution Engineer on the National Government team supporting nonprofit global organizations and land administration teams out of the Rotterdam office. He has over 5 years of GIS experience and has been working with Esri since 2016 previously as a Platform Configuration Engineer with Professional Services out of the Dubai office. He has a degree in Landscape Architecture from the American University of Beirut.
Fine-tune Esri’s existing deep learning models with your own training data to improve accuracy for your area of interest.
Run Quality Assurance/ Quality Control (QA/QC) workflows on your inferenced features such as building footprints.
Evaluate your imagery for deep learning and get started using out-of-the-box models such as building footprint extraction.
Prepare your environment to run out-of-the-box deep learning geoprocessing tools in ArcGIS Pro.
