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SHEL5K: An Extended Dataset and Benchmarking for Safety Helmet Detection

Wearing a safety helmet is important in construction and manufacturing industrial activities to avoid unpleasant situations. This safety compliance can be ensured by developing an automatic helmet detection system using various computer vision and deep learning approaches. Developing a deep-learning...

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Principais autores: Munkh-Erdene Otgonbold, Munkhjargal Gochoo, Fady Alnajjar, Luqman Ali, Tan-Hsu Tan, Jun-Wei Hsieh, Ping-Yang Chen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2022-03-01
coleção:Sensors
Assuntos:
YOLOv3
YOLOv4 YOLOv5
YOLOR
safety helmet
SHEL5K
object detection
Acesso em linha:https://www.mdpi.com/1424-8220/22/6/2315
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