YOLOv11n reports 46.6% mAP@50, 3.2% higher precision, and 22% fewer FLOPs than YOLOv8n on a custom IDD+BDD100K dataset for adverse-weather mixed traffic detection.
Plants 14(5), 653 (2025)
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Performance Analysis of YOLOv11 and YOLOv8 for Mixed Traffic Object Detection under Adverse Weather Conditions in Developing Countries
YOLOv11n reports 46.6% mAP@50, 3.2% higher precision, and 22% fewer FLOPs than YOLOv8n on a custom IDD+BDD100K dataset for adverse-weather mixed traffic detection.