Esri has been making progress in applying deep learning models to extract information from 3D spatial data. Recent experiments have used 3D point cloud data as well as 3D triangulated meshes from structure-from-motion algorithms using oblique imagery. A pilot project in Miami undertaken in 2018 intended to optimize a workflow of reconstructing 3D building models, that required manual digitization of building segments from different roof types, using lidar data in the form of high density point clouds.
https://www.spar3d.com/blogs/all-over-the-map/deep-learning-with-3d-spatial-data/
Budget: 360 TECH