Patent ID: 11875413
Assignee: CAPE ANALYTICS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method, comprising:
determining, by a processing system, a measurement depicting a property;
determining, by the processing system, parcel data associated with the property;
determining, by the processing system, a set of attributes for the property, based on the measurement and the parcel data, using a set of attribute models, wherein determining the set of attributes for the property comprises:
determining a semantic segmentation mask based on the measurement using a semantic segmentation model comprising a neural network;
identifying property feature pixels, from the semantic segmentation mask, that share a common parcel, based on the parcel data;
determining the identified property feature pixels as part of a shared property feature measurement segment corresponding to a property feature; and
extracting an attribute, based on the property feature segment, using an attribute model; and

determining, by the processing system, a condition score based on the set of attributes using a condition scoring model, wherein the condition scoring model comprises a first submodel and a second submodel, wherein determining the condition score comprises:
determining, by the processing system, the condition score using the first submodel when the set of attributes satisfies a set of conditions associated with the condition score; and
calculating, by the processing system, the condition score using the second submodel when the set of attributes does not satisfy the set of conditions wherein the second submodel is trained based on a comparison between a first distribution of predicted condition scores, predicted by the second submodel for a set of training properties, and a second distribution of proxy values for the set of training properties.