Invention Grant
- Patent Title: Machine learning systems and methods for determining home value
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Application No.: US16739286Application Date: 2020-01-10
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Publication No.: US11769180B2Publication Date: 2023-09-26
- Inventor: Mark Jayne , Gergely Svigruha , Raymond Liang , Gregory Aponte
- Applicant: Orchard Technologies, Inc.
- Applicant Address: US NY New York
- Assignee: Orchard Technologies, Inc.
- Current Assignee: Orchard Technologies, Inc.
- Current Assignee Address: US NY New York
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G06Q30/02
- IPC: G06Q30/02 ; G06N3/08 ; G06N20/20 ; G06Q50/16 ; G06F18/214 ; G06N3/042 ; G06N3/045 ; G06N5/01 ; G06V10/764 ; G06V10/774 ; G06V10/80 ; G06V10/82

Abstract:
Techniques for determining value of a home by applying one or more neural network models to images of spaces in the home. The techniques include: obtaining at least one image of a first space inside or outside of a home; determining a type of the first space by processing the at least one image of the first space with a first neural network model; identifying at least one feature in the first space by processing the at least one image with a second neural network model different from the first neural network model and trained using images of spaces of a same type as the first space; and determining a value of the home at least in part by using the at least one feature as input to a machine learning model different from the first neural network model and the second neural network model.
Public/Granted literature
- US20210110439A1 MACHINE LEARNING SYSTEMS AND METHODS FOR DETERMINING HOME VALUE Public/Granted day:2021-04-15
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