Object Detection for Construction Waste Based on an Improved YOLOv5 Model
Object Detection for Construction Waste Based on an Improved YOLOv5 Model
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
An object detection method based on an improved YOLOv5 model was proposed to enhance the accuracy of sorting construction waste. A construction waste image sample set was established by collecting construction waste images on site. These construction waste images were preprocessed using the random brightness method. A YOLOv5 object detection model...
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Full title
Object Detection for Construction Waste Based on an Improved YOLOv5 Model
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TN_cdi_proquest_journals_2761216757
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2761216757
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ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su15010681
