Invention Grant
- Patent Title: Automated extraction of product attributes from images
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Application No.: US15982675Application Date: 2018-05-17
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Publication No.: US11055557B2Publication Date: 2021-07-06
- Inventor: Anirban Chatterjee , Bodhisattwa Prasad Majumder , Gayatri Pal , Rajesh Shreedhar Bhat , Sumanth S. Prabhu , Vignesh Selvaraj
- Applicant: Walmart Apollo, LLC
- Applicant Address: US AR Bentonville
- Assignee: Walmart Apollo, LLC
- Current Assignee: Walmart Apollo, LLC
- Current Assignee Address: US AR Bentonville
- Priority: IN201841012953 20180405
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/32 ; G06N5/04 ; G06N20/00 ; G06F16/58 ; G06F16/33 ; G06F40/279

Abstract:
The system and method described herein provide for a machine-learning model to automate determination of product attributes for a product based on images associated with the product. The product attributes can be used in online commerce to facilitate product selection by a customer. In accordance with this disclosure, the product attributes may be determined using machine-learning technology by processing images associated with the product (including product packaging). The machine-learning technology is trained using product-related vocabulary and potential attributes that can be discovered by analyzing the images associated with the product.
Public/Granted literature
- US20190311210A1 AUTOMATED EXTRACTION OF PRODUCT ATTRIBUTES FROM IMAGES Public/Granted day:2019-10-10
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