OBJECT LOCALIZATION FRAMEWORK FOR UNANNOTATED IMAGE DATA

    公开(公告)号:US20210287401A1

    公开(公告)日:2021-09-16

    申请号:US17316373

    申请日:2021-05-10

    Abstract: A system is provided for object localization in image data. The system includes an object localization framework comprising a plurality of object localization processes. The system is configured to receive an image comprising unannotated image data having at least one object in the image, access a first object localization process of the plurality of object localization processes, determine first bounding box information for the image using the first object localization process, wherein the first bounding box information comprises at least one first bounding box annotating at least a first portion of the at least one object in the image, and receive first feedback regarding the first bounding box information determined by the first object localization process. The system is further configured to persist the image with the first bounding box information or access a second object localization process based on the first feedback.

    Processing Referral Objects to Add to Annotated Corpora of a Machine Learning Engine

    公开(公告)号:US20210056164A1

    公开(公告)日:2021-02-25

    申请号:US16549846

    申请日:2019-08-23

    Inventor: Joy MUSTAFI

    Abstract: A system is provided for referral object processing for textual annotations. The system comprises a memory storing machine executable code and one or more processors coupled to the memory and configurable to execute the machine executable code to cause the one or more processors to parse a document to identify a reference identifier to an external object, the external object associated with information not contained in the document, retrieve the external object using the reference identifier, extract the information associated with the external object based on at least one data pattern detected in the external object, convert the extracted information into textual annotations associated with the reference identifier in the document, and enter the textual annotations to a corpus of content for the document so that the extracted information is associated with the reference in the document for the system.

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