An Efficient Grocery Detection System Using HYOLO-NAS Deep Learning Model for Visually Impaired People

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An Efficient Grocery Detection System Using HYOLO-NAS Deep Learning Model for Visually Impaired People

Publisher: Transdiscilinary Research and Education Center for Green Technologies, Kyushu University

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Summary, etc.：: Real-time application of object detections are common, and the area of computer vision dramatically benefits from them. Recognizing grocery items pose...

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Material Type: 記事
Title: An Efficient Grocery Detection System Using HYOLO-NAS Deep Learning Model for Visually Impaired People
Author Heading: Chhabra Payal
Goyal Sonali
Publication Date: 2024-09
Publication Date (W3CDTF): 2024-09
Periodical title: Evergreen
No. or year of volume/issue: 11 3
Volume: 11
Issue: 3
Pages: 1990-2003
Publication date of volume/issue (W3CDTF): 2024-09
ISSN (Periodical Title): 21890420
Publication (Periodical Title): Transdiscilinary Research and Education Center for Green Technologies, Kyushu University
Text Language Code: en
Subject Heading: Deep Learning
Grocery Detection
YOLO-NAS
HyperParameter Tuning
Visually Impaired People
Deep Learning
Grocery Detection
YOLO-NAS
HyperParameter Tuning
Visually Impaired People
Target Audience: 一般
DOI: 10.5109/7236846
Access Restrictions: インターネット公開
Related Material (URI): https://hdl.handle.net/2324/7236846
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