Invention Grant
- Patent Title: Training set sufficiency for image analysis
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Application No.: US17157427Application Date: 2021-01-25
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Publication No.: US12169984B2Publication Date: 2024-12-17
- Inventor: Oron Nir , Royi Ronen , Ohad Jassin , Milan M. Gada , Mor Geva Pipek
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06V10/70
- IPC: G06V10/70 ; G06F18/21 ; G06F18/211 ; G06F18/214 ; G06V10/774 ; G06V10/776 ; G06V40/16

Abstract:
Aspects of the technology described herein improve an object recognition system by specifying a type of picture that would improve the accuracy of the object recognition system if used to retrain the object recognition system. The technology described herein can take the form of an improvement model that improves an object recognition model by suggesting the types of training images that would improve the object recognition model's performance. For example, the improvement model could suggest that a picture of a person smiling be used to retrain the object recognition system. Once trained, the improvement model can be used to estimate a performance score for an image recognition model given the set characteristics of a set of training of images. The improvement model can then select a feature of an image, which if added to the training set, would cause a meaningful increase in the recognition system's performance.
Public/Granted literature
- US20210174146A1 TRAINING SET SUFFICIENCY FOR IMAGE ANALYSIS Public/Granted day:2021-06-10
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