The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 05, 2023

Filed:

Dec. 02, 2022
Applicant:

June Life, Inc., San Francisco, CA (US);

Inventors:

Nikhil Bhogal, San Francisco, CA (US);

Nishit Kumar, San Francisco, CA (US);

Jithendra Paruchuri, San Francisco, CA (US);

Assignee:

June Life, Inc., San Francisco, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06N 20/20 (2019.01); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06F 18/21 (2023.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/00 (2022.01); G06N 3/08 (2023.01); G06V 20/68 (2022.01);
U.S. Cl.
CPC ...
G06N 20/20 (2019.01); G06F 18/2148 (2023.01); G06F 18/2163 (2023.01); G06F 18/24 (2023.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/00 (2022.01); G06N 3/08 (2013.01); G06V 20/68 (2022.01);
Abstract

The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.


Find Patent Forward Citations

Loading…