Invention Grant
- Patent Title: Methods and apparatus for training a classification model based on images of non-bagged produce or images of bagged produce generated by a generative model
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Application No.: US17085585Application Date: 2020-10-30
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Publication No.: US11720650B2Publication Date: 2023-08-08
- Inventor: Christopher Bradley Rodney Sampson , Sufyan Asghar , Rui Dong
- Applicant: Tiliter Pty Ltd.
- Applicant Address: AU Sydney
- Assignee: Tiliter Pty Ltd.
- Current Assignee: Tiliter Pty Ltd.
- Current Assignee Address: AU Sydney
- Agency: Cooley LLP
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06F18/2431 ; G06N3/088 ; G06F18/214 ; G06N3/045

Abstract:
In some embodiments, a method can include receiving first images of produce. The method can further include executing a first machine learning model to generate second images of produce based on the first images of produce. The first images of produce can include (1) images of non-bagged produce or (2) images of bagged produce. The second images of produce can include the other of (1) images of non-bagged produce or (2) images of bagged produce. The method can further include training a second machine learning model based on the first images of produce and the second images of produce. The method can further include executing, after the training, the second machine learning model to classify as a bagged produce or a non-bagged produce an image not included in the first images and not included in the second images.
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