Visual risk assessment method based on YOLOv5: a case study of university laboratories

Zhou, X, Guo, C and Qin, Z ORCID logoORCID: https://orcid.org/0000-0001-8208-8488, 2023. Visual risk assessment method based on YOLOv5: a case study of university laboratories. Journal of Wuhan University of Technology (Information and Management Engineering). ISSN 1000-2413

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Item Type: Journal article
Publication Title: Journal of Wuhan University of Technology (Information and Management Engineering)
Creators: Zhou, X., Guo, C. and Qin, Z.
Publisher: Springer Verlag
Date: 15 June 2023
ISSN: 1000-2413
Identifiers:
Number
Type
1827416
Other
Divisions: Schools > Nottingham Business School
Record created by: Jeremy Silvester
Date Added: 03 Nov 2023 09:53
Last Modified: 03 Nov 2023 09:53
Related URLs:
URI: https://irep.ntu.ac.uk/id/eprint/50232

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