Table 6 Performance comparison of \(\hbox {V}^2\)PlantNet and MobileNet variants on the test dataset.

From: Optimised MobileNet for very lightweight and accurate plant leaf disease detection

Model

Total Params

Memory

Inference Time (sec)

TFLOPs

Activations

Precision

Recall

F1-score

Accuracy

\(\hbox {V}^2\)PlantNet

383,375

1.46 MB

0.676399

773,445

9,659,663

0.99

0.99

0.99

0.99

MobileNet V1

3,244,239

12.38 MB

0.758443

6,488,588

16,843,215

0.99

0.99

0.99

0.99

MobileNet V2

2,277,199

8.69 MB

1.361673

4,554,633

21,814,975

1.0

1.0

1.0

1.0

MobileNet V3 Large

3,010,767

11.49 MB

1.343

6,011,595

19,962,943

0.99

0.99

0.99

0.99

MobileNet V3 Small

947,775

3.62 MB

1.812190

1,889,937

7,755,103

1.00

1.00

1.00

1.00