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公开(公告)号：US10713792B1
公开(公告)日：2020-07-14
申请号：US15406241
申请日：2017-01-13
Applicant: AMAZON TECHNOLOGIES, INC.
IPC: G06T5/00 , G06T7/13 , G06T7/194 , G06K9/46 , G06T7/11 , G06T7/136 , G06T11/00 , G06K9/62 , G06T7/90 , G06T11/60 , G06T1/20
Abstract: A system for processing a seller provided input image depicting an object. The system may process the input images to be in compliance with an online shopping website's image requirements. The image processing service may execute multiple modules on the input image. An edge detection module may detect one or more edges of the image of the object and determine border data indicative of a border around the object. An object of interest module may extract the image of the object within the border to generate an object of interest image. A background extraction module may create one or more closed shapes to separate the image of the object from background pixels. A hole detection module may traverse the one or more closed shapes to determine a presence of background pixels, remove the background pixels, and generate a resulting image.
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公开(公告)号：US10417350B1
公开(公告)日：2019-09-17
申请号：US15688678
申请日：2017-08-28
Applicant: Amazon Technologies, Inc.
Inventor： Mohamed Thahir Peer Mohamed , Mohammed Nazeeruddin , Faizi Siddiqui , Bin Zhu
Abstract: Influential token combinations corresponding to various classes associated with a machine learning model trained to classify text collections expressed in a first language are identified. A similarity metric between one or more influential token combinations and a classification candidate text collection (expressed in a second language) is determined. A substitute text collection corresponding to the classification candidate is generated based at least partly on the similarity metric. The substitute text collection is used as input to one or more machine learning models to identify a predicted class of the classification candidate.
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