Invention Grant
- Patent Title: Dataset augmentation based on occlusion and inpainting
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Application No.: US14318871Application Date: 2014-06-30
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Publication No.: US11017311B2Publication Date: 2021-05-25
- Inventor: Benjamin Orth Chandler
- Applicant: Hewlett Packard Enterprise Development LP
- Applicant Address: US TX Houston
- Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee: Hewlett Packard Enterprise Development LP
- Current Assignee Address: US TX Houston
- Agency: Hewlett Packard Enterprise Patent Department
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06N20/00

Abstract:
Augmenting a dataset in a machine learning classifier is disclosed. One example is a system including a training dataset with at least one training data, and a label preserving transformation including an occluder, and an inpainter. The occluder occludes a selected portion of the at least one training data. The inpainter inpaints the occluded portion of the at least one training data, where the inpainting is based on data from a portion different from the occluded portion. In one example, the augmented dataset is deployed to train a machine learning classifier.
Public/Granted literature
- US20150379422A1 Dataset Augmentation Based on Occlusion and Inpainting Public/Granted day:2015-12-31
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