Table 3 Yolov8 versus Yolov8-G results comparison.

From: Optimized YOLOv8 framework for intelligent rockfall detection on mountain roads

Model

AP@0.5

AP@0.75

parameters

GFLOPs

Yolov8

0.878

0.507

3,005,843

8.1

Yolov8-G

0.876

0.502

2,393,063

6.5

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