公开(公告)号：US20230325934A1

公开(公告)日：2023-10-12

申请号：US18133515

申请日：2023-04-11

Applicant: ZHEJIANG LAB

Inventor： KAI DING ,  CHONGNING NA ,  JIAXI YANG

IPC: G06Q40/08 ,  G06V20/70 ,  G06V10/74

CPC classification number: G06Q40/08 ,  G06V20/70 ,  G06V10/761

Abstract: The present invention discloses a method and system of image annotation and element extraction for automobile insurance anti-fraud. The method of the present invention extracts anti-fraud elements from images such as automobile insurance scene collection and post supplementary images. The system of the present invention comprises an automobile insurance element table construction module, an image acquisition module, an annotation module and an element extraction module, wherein the annotation module comprises a multi-label classification annotation module, an automobile damage location annotation module and a personnel identity annotation module; and the element extraction module is used for performing element extraction on automobile insurance data. The present invention mainly focuses on image element annotation and extraction for automobile insurance anti-fraud, so that the extracted image elements are more objective, automobile insurance structured data which can be used for cross validation is generated, and the data quality is improved.