US 12,067,769 B2
Object recognition
Lukas A. Bossard, Mountain View, CA (US); Matthias Dantone, Cupertino, CA (US); and Samuel F. Dodge, San Francisco, CA (US)
Assigned to Apple Inc., Cupertino, CA (US)
Filed by Apple Inc., Cupertino, CA (US)
Filed on Jan. 21, 2022, as Appl. No. 17/581,840.
Claims priority of provisional application 63/197,225, filed on Jun. 4, 2021.
Prior Publication US 2022/0392209 A1, Dec. 8, 2022
Int. Cl. G06V 10/00 (2022.01); G06V 10/764 (2022.01); G06V 10/98 (2022.01)
CPC G06V 10/987 (2022.01) [G06V 10/764 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining, by an electronic device, an image;
detecting an object of interest in the image;
classifying the object of interest using a classification model;
determining, based on classifying the object of interest, a confidence level in identifying the object of interest; and
responsive to determining that the confidence level does not meet a confidence level threshold for identifying the object of interest:
generating a request for a user input;
receiving a response to the request, the response including the user input; and
identifying, based on the received response, the object of interest using an object recognition model.