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Title:
アノテーション支援方法、アノテーション支援装置、及びアノテーション支援プログラム
Document Type and Number:
Japanese Patent JP7265961
Kind Code:
B2
Abstract:
Speed of first work is compared with speed of second work based on a first working period when a worker is caused to perform the first work of setting annotation data to first image data and a second working period when the worker is caused to perform the second work of correcting advance annotation data set based on a recognition result obtained by causing a predetermined recognizer to recognize the first image data, and, in a case where the first work is faster than the second work, the worker is requested to correct second image data in which advance annotation data is not set, while, in a case where the second work is faster than the first work, the worker is requested to correct advance annotation data set based on a recognition result obtained by causing the recognizer to recognize the second image data.

Inventors:
Toru Tanikawa
Application Number:
JP2019150938A
Publication Date:
April 27, 2023
Filing Date:
August 21, 2019
Export Citation:
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Assignee:
Panasonic Intellectual Property Corporation of America
International Classes:
G06T7/00; G06V10/25; G06N20/00; G06Q10/06; G06V20/00
Domestic Patent References:
JP2017162437A
JP2015087903A
Foreign References:
US20160148077
Other References:
小林 尚生、南野 充則,“食事画像のラベル付け作業の省力化に関する考察”,人工知能学会全国大会論文集 第33回全国大会(2019),日本,一般社団法人人工知能学会,2019年06月04日,pp.1-3
吉作 清彦、大村 廉,“ALATA:継続的なラベル付きデータ取得のための能動学習に基づくアノテーションツール”, 情報処理学会研究報告,日本,一般社団法人情報処理学会,2011年08月15日,Vol.2011-UBI-31, No.3,pp.1-8
Rodrigo Benenson et al.,"Large-Scale Interactive Object Segmentation With Human Annotators",2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),米国,IEEE,2019年06月15日,pp.11692-11701
Lluis Castrejon et al.,"Annotating Object Instances with a Polygon-RNN",2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),米国,IEEE,2017年07月21日,pp.4485-4493
Attorney, Agent or Firm:
Masataka Kotani
Koji Nishitani