Using our years of vast knowledge of Deep Learning, the team at NV5 Geospatial setout to create a model that would allow us to automatically identify assets along this specific line like power poles, light signals, cabinets, and other assets tied to signaling. As the classifier ran through the dataset it allowed us to build a heatmap of where the assets were along the rail corridor, with a high accuracy of location: