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author:

Chen, Xinyuan (Chen, Xinyuan.) [1]

Indexed by:

EI Scopus

Abstract:

To help the management of stores, especially the stores that provide self-check digital services, and to better understand and study the object-detection algorithm based on You Only Look Once, used many ways to train and get a YOLO model that satisfy the need of detecting multiple products in images. The RPC dataset is used to train the model, part of which is used in the training process to generate a final version, the result performance of the model generally shows the YOLO algorithm has its strengths when faced with images of retail goods. © 2024 The Authors.

Keyword:

Computer vision Convolutional neural networks Information services Object detection Object recognition Retail stores

Community:

  • [ 1 ] [Chen, Xinyuan]Maynooth International Engineering College, Fuzhou University, Fujian, Fuzhou; 350000, China

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Source :

ISSN: 2352-751X

Year: 2024

Volume: 51

Page: 564-571

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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