US 11,748,669 B2
System and method for classification of ambiguous objects
Nikhil Bhogal, San Francisco, CA (US); Nishit Kumar, San Francisco, CA (US); and Jithendra Paruchuri, San Francisco, CA (US)
Assigned to June Life, Inc., San Francisco, CA (US)
Filed by June Life, Inc., San Francisco, CA (US)
Filed on Dec. 2, 2022, as Appl. No. 18/74,187.
Application 18/074,187 is a continuation of application No. 17/216,036, filed on Mar. 29, 2021, granted, now 11,593,717.
Claims priority of provisional application 63/025,139, filed on May 14, 2020.
Claims priority of provisional application 63/001,200, filed on Mar. 27, 2020.
Prior Publication US 2023/0091769 A1, Mar. 23, 2023
Int. Cl. 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)
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)] 18 Claims
OG exemplary drawing
 
1. A method for ambiguous object classification, comprising:
receiving an image set, wherein each image of the image set is labeled with a noisy label of an ambiguous object class;
partitioning the image set into N training sets;
training annotation models using the N training sets;
generating a set of secondary labels for each image of the image set using the trained annotation models; and
determining a final label for images of the image set based on the respective set of secondary labels.