A deep learning-based algorithm for the detection of personal protective equipment.
Personal protective equipment (PPE) is critical for ensuring the safety of construction workers. However, site surveillance images from construction sites often feature multi-size and multi-scale targets, leading to low detection accuracy for PPE in existing models. To address this issue, this paper...
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| Main Authors: | Bo Tong, Guan Li, Xiangli Bu, Yang Wang, Xingchen Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0322115 |
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