Performance Evaluation of YOLOv8 for Object Detection on the COCO Dataset

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YOLOv8 achieves real-time inference speeds while providing excellent detection accuracy across various tasks.
The model refined on a custom dataset demonstrated notable improvement in precision and recall metrics.
Architectural enhancements in YOLOv8 contribute to its efficiency and class-wise detection capabilities.
Results suggest YOLOv8 is effective for both cloud-based and embedded systems in real-world applications.

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Performance of YOLOv8 shows improvements in object detection accuracy and efficiency, indicating its suitability for diverse applications.

Shital Nivrutti Katkade (2025) studied this question.

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Performance of YOLOv8 shows improvements in object detection accuracy and efficiency, indicating its suitability for diverse applications.