Artificial intelligence system for identifying and assessing attributes of a property shown in aerial imagery

摘要

A computer-based method includes receiving, at a computer-based system, an aerial image of a property that includes a first visual indicator on the aerial image that follows and identifies a boundary line for the property; using a building rooftop Deep Fully Convolutional Network (DFCN), configured and trained to predict the presence of building rooftops in aerial imagery, to predict whether any building rooftops are present within the boundary line of the property based on the aerial image; and applying a second visual indicator to the aerial image to identify and outline a building rooftop in the aerial image identified by the building rooftop deep fully convolutional network. In some implementations, other Convolutional Networks (ConvNets) are used to predict other property attributes and characteristics.