Comparative Study of VGG16, ResNet50, and YOLOv8 Models in Detecting Driver Distraction in Varying Lighting Conditions
Observing driver distractions while driving gives valuable information to prevent accidents, so it is necessary to use effective monitoring methods. Deep learning is showing new capabilities in solving this issue. This study evaluates the results of CNN, YOLOv8, ResNet50 and VGG16 deep learning mode...
में बचाया:
| मुख्य लेखकों: | , |
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| स्वरूप: | Artigo |
| भाषा: | Inglês |
| प्रकाशित: |
University of Zagreb Faculty of organization and informatics
2025-01-01
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| श्रृंखला: | Journal of Information and Organizational Sciences |
| विषय: | |
| ऑनलाइन पहुंच: | https://hrcak.srce.hr/file/480303 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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