公开(公告)号：US11971955B1

公开(公告)日：2024-04-30

申请号：US17381833

申请日：2021-07-21

Applicant: Amazon Technologies, Inc.

Inventor： Ria Chakraborty ,  Madhur Popli ,  Rachit Lamba ,  Santosh Kumar Sahu ,  Rishi Kishore Verma

IPC: G06V10/00 ,  G06F18/21 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2413 ,  G06F18/40 ,  G06N3/04 ,  G06N3/08 ,  G06T7/73 ,  G06V10/75 ,  G06F3/0482

CPC classification number: G06F18/2148 ,  G06F18/2155 ,  G06F18/2163 ,  G06F18/2178 ,  G06F18/22 ,  G06F18/2413 ,  G06F18/40 ,  G06N3/04 ,  G06N3/08 ,  G06T7/73 ,  G06V10/751 ,  G06F3/0482 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06V2201/09

Abstract: Techniques are generally described for machine learning exampled-based annotation of image data. In some examples, a first machine learning model may receive a query image comprising a first depiction of an object-of-interest. In some examples, the first machine learning model may receive a target image representing a scene in which a second depiction of the object-of-interest is visually represented. In various examples, the first machine learning model may generate annotated output image data that identifies a location of the second depiction of the object-of-interest within the target image. In some examples, an object detection model may be trained based at least in part on the annotated output image data.

公开(公告)号：US11947590B1

公开(公告)日：2024-04-02

申请号：US17476292

申请日：2021-09-15

Applicant: Amazon Technologies, Inc.

Inventor： Ria Chakraborty ,  Madhur Popli ,  Rishi Kishore Verma ,  Pranesh Bhimarao Kaveri

IPC: G06F16/00 ,  G06F16/538 ,  G06F16/54 ,  G06F18/24 ,  G06N3/045 ,  G06Q30/0601

CPC classification number: G06F16/538 ,  G06F16/54 ,  G06F18/24 ,  G06N3/045 ,  G06Q30/0641

Abstract: Embodiments of a contextualized visual search (CVS) system are disclosed capable of isolating target images of items that contain instances of a previously-unseen query image from a large database of target images. In embodiments, the system is used to implement an interactive query interface of an e-commerce portal, which allows the user to specify the query image (e.g. a logo) to be searched. The system converts the query image into a feature vector using a first machine learning model, and compares the feature vector to feature vectors of target images using a second machine learning model to find matching target images that contain an instance of the query image. The system then returns a query result indicating a list of items associated with matched target images. In embodiments, the query results may be ranked based on a set of personalized factors associated with the user.