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:
Jan. 18, 2022

Filed:

Feb. 13, 2019
Applicant:

Slingshot Aerospace, Inc., Austin, TX (US);

Inventors:

David Stuart Godwin, IV, Leander, TX (US);

Thomas Scott Ashman, Long Beach, CA (US);

Spencer Ryan Romo, Austin, TX (US);

Melanie Stricklan, Long Beach, CA (US);

Carrie Inez Hernandez, Long Beach, CA (US);

Assignee:

Slingshot Aerospace, Inc., Austin, TX (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 3/04 (2006.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6262 (2013.01); G06K 9/00657 (2013.01); G06K 9/6202 (2013.01); G06K 9/6256 (2013.01); G06N 3/04 (2013.01); G06N 3/0436 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01);
Abstract

Method, electronic device, and computer readable medium embodiments are disclosed. In one embodiment, a method includes training a neural network using a first image dataset and a first truth dataset, then using the trained neural network to analyze a second image dataset. The training includes modifying a loss function of the neural network to forego penalizing the neural network when a feature is predicted with higher than a first confidence level by the neural network, and the first truth dataset has no feature corresponding to the predicted feature.


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