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Summary & Details

Towrards Automation of Train Data Annotation for Object Detection Model

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20215271

Paper/Info type: Proceedings (Spring)

No.61-21

Pages: 1-5(Total 5 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: 2021 JSAE Annual Congress (Spring)[Online Meeting]

Detailed Information

Author(E)	1) Mohd Hafiz Hilman Mohammad Sofian, 2) Toshio Ito, 3) Yasutaka Okada, 4) Rei Hiromi, 5) Aoi Ogishima
Affiliation(E)	1) Shibaura Institute of Technology, 2) Shibaura Institute of Technology, 3) DENSO TEN, 4) DENSO TEN, 5) DENSO TEN
Abstract(E)	Convolutional Neural Network has been one of the main reasons for the development of the autonomous driving system. It may be used to detect the presence of other vehicles and pedestrians and the driver can be then alarmed for any possible accidents. However, CNN needs to be trained on a large annotated dataset which can introduce a high cost of time and human labor. We propose a system called "Machine Teachers" to reduce those costs by automating the data annotation process. This system will then be used with the Active Learning framework for a faster and probably better training process.

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