Invention Grant
- Patent Title: Automatic classifier profiles from training set metadata
-
Application No.: US16720793Application Date: 2019-12-19
-
Publication No.: US11455500B2Publication Date: 2022-09-27
- Inventor: Ben Wiltshire
- Applicant: Insitu, Inc.
- Applicant Address: US WA Bingen
- Assignee: Insitu, Inc.
- Current Assignee: Insitu, Inc.
- Current Assignee Address: US WA Bingen
- Agency: Coats & Bennett, PLLC
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06F16/55 ; G06N3/08 ; G06F16/587 ; G06V20/00

Abstract:
A method of identifying one or more objects in an image file that includes receiving an image file at a first classifier, wherein the image file comprises image metadata that identifies characteristics of the image file. The method includes determining whether the first classifier is trained to identify at least one object in the image file based on a first set of training metadata associated with the first classifier, wherein the first set of training metadata defines a set of characteristics for which the first classifier is trained to identify the at least one object. The method includes identifying the one or more objects in the image file using the first classifier responsive to determining that the first classifier is trained to identify the at least one object.
Public/Granted literature
- US20210192293A1 Automatic Classifier Profiles from Training Set Metadata Public/Granted day:2021-06-24
Information query