July 28, 2025

YOLOv8 for Object Detection: A Comprehensive Review of Advances,Techniques, and Applications

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Authors

VAVivi Afifah SESurni ErniwatiUniversity of Mataram

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Implication

This review reveals techniques enhancing object detection accuracy in surveillance and autonomous driving, indicating YOLOv8's practical applications.

Key Points

YOLOv8 offers significant advancements in object detection techniques and applications.
Key improvements include enhanced architecture, efficient training, and optimized loss functions.
The review analyzed findings from over 40 studies supporting YOLOv8's effectiveness.
Applications span various fields like surveillance, smart agriculture, and medical image analysis.

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Afifah et al. (2025) studied this question.

synapsesocial.com/papers/689a093fe6551bb0af8cea6e https://doi.org/10.71129/ijaci.v2i1.pp53-61

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Implication

This review reveals techniques enhancing object detection accuracy in surveillance and autonomous driving, indicating YOLOv8's practical applications.

YOLOv8 for Object Detection: A Comprehensive Review of Advances,Techniques, and Applications

Discussion

Member takes

Implication

Key Points

Cite This Study

YOLOv8 for Object Detection: A Comprehensive Review of Advances,Techniques, and Applications

Discussion

Member takes

Implication

Key Points

Cite This Study

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