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Patent Searching and Data


Title:
METHOD FOR DISTRIBUTING LABELING WORK ACCORDING TO DIFFICULTY THEREOF AND APPARATUS USING SAME
Document Type and Number:
WIPO Patent Application WO/2021/118041
Kind Code:
A1
Abstract:
The present invention proposes a method for distributing labeling work, wherein a computing device uses a deep learning model performing bounding box labeling work, in order to find the position of an object included in an image and classify the type of the object, the method comprising the steps of: obtaining a predetermined image including at least one object by the computing device; performing calculation, by the computing device, while passing the predetermined image through the deep learning model, to obtain i) the coordinates of a bounding box with respect to the at least one object, ii) a classification value indicating the type of the at least one object, and iii) a loss value indicating the degree of error of the obtained bounding box; and determining, by the computing device, difficulty levels of labeling work on the basis of the loss value and the classification value, and distributing the labeling work to workers according to the determined difficulty levels.

Inventors:
KIM SE YEOB (KR)
KANG BA ROM (KR)
Application Number:
PCT/KR2020/014338
Publication Date:
June 17, 2021
Filing Date:
October 20, 2020
Export Citation:
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Assignee:
SELECT STAR INC (KR)
International Classes:
G06Q10/06; G06K9/62; G06Q10/10; G06Q30/02
Foreign References:
KR101887415B12018-08-10
JP2016181036A2016-10-13
JP2005267155A2005-09-29
JP2019101559A2019-06-24
JP2017228278A2017-12-28
KR102143782B12020-08-12
Attorney, Agent or Firm:
SHIN, Moo Yun (KR)
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