Correlating image annotations with foreground features

    公开(公告)号:US10853407B2

    公开(公告)日:2020-12-01

    申请号:US14290754

    申请日:2014-05-29

    Applicant: eBay Inc.

    Abstract: A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.

    CORRELATING IMAGE ANNOTATIONS WITH FOREGROUND FEATURES

    公开(公告)号:US20210182333A1

    公开(公告)日:2021-06-17

    申请号:US17107483

    申请日:2020-11-30

    Applicant: eBay Inc.

    Abstract: A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.

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