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:
Aug. 15, 2023

Filed:

Oct. 07, 2022
Applicant:

Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US);

Inventors:

Anuj Doshi, Long Island City, NY (US);

Jonathan Lee, Brooklyn, NY (US);

John B. Putman, Celebration, FL (US);

Assignee:

Nanotronics Imaging, Inc., Cuyahoga Falls, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06V 10/774 (2022.01); G06T 7/00 (2017.01); G06V 10/22 (2022.01);
U.S. Cl.
CPC ...
G06V 10/774 (2022.01); G06T 7/001 (2013.01); G06V 10/235 (2022.01); G06T 2207/20104 (2013.01);
Abstract

A system and method for generating a training data set for training a machine learning model to detect defects in specimens is described herein. A computing system cause presentation of an image on a device of a user. The image includes at least one defect on an example specimen. The computing system receives an annotated image from the user. The user annotated the image using an input via the device. The input includes a first indication of a location of the defect and a second indication of a class corresponding to the defect. The computing system adjusts the annotated image to standardize the input based on an error profile of the user and the class corresponding to the defect. The computing system uploads the annotated image for training the machine learning model.


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