基于改进YOLOv5的枸杞虫害检测
杜丁健,高遵海,陈倬
Wolfberry pest detection based on improved YOLOv5
Dingjian DU,Zunhai GAO,Zhuo CHEN
表 3
不同模型的检测性能对比
Tab.3
Comparison of detection performance for different models
模型
mAP50/%
M
/MB
YOLOv5m
92.8
42.20
YOLOv3
[
25
]
90.3
123.50
YOLOv7
[
26
]
93.1
74.80
YOLOX
[
27
]
93.1
130.16
DETR
[
28
]
91.9
186.20
EfficientDet-D1
[
29
]
91.2
26.80
Cascade R-CNN
[
30
]
93.7
527.20
NCF-YOLO
94.7
57.40