IP Library › Granted Patent US 11,935,276
Granted Patent B2
US 11,935,276 · App. 18/100,736 · Granted Mar 19, 2024

System and method for subjective property parameter determination

Inventor: Matthieu Portail (Palo Alto, CA)
Assignee: Cape Analytics, Inc.
G06V10/774G06Q50/16G06T7/0002G06T2207/20081
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Quick Facts
Patent No.
US 11,935,276
App. No.
18/100,736
Filed
Jan 24, 2023
Granted
Mar 19, 2024
Kind
B2
Art Unit
2671
USPC
382/155
Abstract

In variants, the method for subjective property scoring can include determining an objective score for a subjective characteristic of a property using a model trained using subjective property rankings.

Claims (33)

1. A method comprising:

determining a property;

determining a set of measurements of the property; and

determining an objective score for a subjective characteristic of the property based on the set of measurements using a model trained on a set of training properties ranked based on the subjective characteristic using qualitative labels.

2. The method of claim 1 , wherein the training properties are manually ranked based on the subjective characteristic using qualitative labels; wherein the model is trained by:

determining an objective score for each training property based on the respective ranking; and

training the model to predict the objective score, based on a set of measurements for the respective training property.

3. The method of claim 2 , wherein the sets of measurements for each training property have substantially the same measurement quality.

4. The method of claim 2 , wherein the sets of measurements for each training property and the property are sampled from the same poses relative to the respective property.

5. The method of claim 1 , wherein the objective score for each training property is determined based on a rating for the training property, wherein the rating is determined from the respective ranking using a rating model.

6. The method of claim 1 , wherein the objective score is a categorical variable value.

7. The method of claim 6 , wherein the model is trained by:

determining a categorical variable value for each training property based on the respective rank of the training property within the set; and

training the model to predict the categorical variable value based on a set of measurements for the training property.

8. The method of claim 1 , wherein the method further comprises determining a property valuation based on the objective score.

9. The method of claim 1 , wherein the method further comprises providing the objective score and at least one image of the property to a user.

10. The method of claim 1 , wherein the set of measurements comprises an oblique image of the property.

11. The method of claim 1 , wherein the set of measurements comprises an interior image of a building of the property.

12. The method of claim 1 , wherein the subjective characteristic comprises curb appeal.

13. A system, comprising:

a storage device; and

a set of processors coupled to the storage device, the storage device storing software instructions for controlling the set of processors that, when executed, cause the set of processors to:

determine an image of a property of interest; and

determine an appeal score for the property based on the image using a scoring model trained on a set of training properties ranked by subjective appeal using qualitative labels.

14. The system of claim 13 , wherein the scoring model is trained to predict an appeal score indicative of the ranking for each of the set of training properties.

15. The system of claim 13 , wherein training the model comprises:

determining a rating for each training property based on the respective ranking; and

training the model to predict an appeal score indicative of the rating based on an image of the respective training property.

16. The system of claim 13 , wherein the ranks for the set of training properties are manually determined by displaying images of two training properties to a user and receiving a user preference between the two training properties.

17. The system of claim 13 , wherein the ranks for the set of training properties are determined based on images of the training properties, wherein all images have substantially a same image quality and each image is taken from substantially a same pose relative to the respective property.

18. The system of claim 13 , wherein the system is further configured to return at least one of the appeal scores or an image of the property of interest.

19. The system of claim 13 , wherein the system is further configured to determine a property modification for the property of interest based on the appeal score.

20. The system of claim 13 , wherein the system is further configured to determine a property valuation for the property of interest based on the appeal score.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 13, 2024
From: PORTAIL, MATTHIEU; SHEVCHENKO, ROSTYSLAV
To: CAPE ANALYTICS, INC.
Reel/Frame 067394/0042 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 10, 2023
From: PORTAIL, MATTHIEU
To: CAPE ANALYTICS, INC.
Reel/Frame 062663/0618 →
Continuity (2)
Provisional Application 63302287 · Jan 24, 2022
Related Publication 20230237775A1 · Jul 27, 2023