Skip to main content

Table 4 Performance comparison of ResNet50 and MF-RANet

From: Identification of citrus diseases based on AMSR and MF-RANet

Method

ResNet50

MF-RANet

Training accuracy

85.74%

97.95%

Testing accuracy

85.06%

96.87%

mAP

79.49%

90.27%

FPS

49

88

GFLOPs

4.12G

6.1G

Training time

5 h 48 min 12 s

3 h 47 min 46 s

Model size (MB)

26 M

24 M

Back to article page

Plant Methods

ISSN: 1746-4811