| CPC G06Q 50/16 (2013.01) [G06V 20/176 (2022.01)] | 22 Claims |
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1. A method, comprising, by a processing system:
determining a classification model trained to predict a training parcel class for each of a set of training parcels associated with a set of training properties based on features extracted from parcel information for each of the set of training parcels, wherein the classification model is trained on the set of training parcels using qualitative labels;
for each of a set of properties, each associated with adjacent parcels:
determining a set of measurements depicting the property;
extracting a building segment for the property from the set of measurements using a segmentation model comprising a neural network;
determining a parcel associated with the property; and
classifying the parcel with a parcel class using the classification model;
determining whether each property of the set of properties is part of a group based on the respective parcel class and the respective building segment; and
generating a final group comprising the properties of the set of properties that are determined to be part of the group.
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