Image Classification Based on Light Convolutional Neural Network Using Pulse Couple Neural Network

Table 5

Performance metrics for CIFAR-10.

Class	Number of images	Precision	Recall	F1	Accuracy (top-1)
Airplane	6000	0.9859	1.0000	0.9929	0.9859
Automobile	6000	0.9946	0.9957	0.9952	0.9904
Bird	6000	0.9958	0.9990	0.9974	0.9948
Cat	6000	0.9969	0.9990	0.9979	0.9959
Deer	6000	0.9947	0.9895	0.9921	0.9844
Dog	6000	0.9959	0.9990	0.9975	0.9949
Frog	6000	0.9895	0.9989	0.9942	0.9885
Horse	6000	0.9950	0.9990	0.9970	0.9940
Ship	6000	0.9894	0.9989	0.9941	0.9883
Truck	6000	0.9949	0.9990	0.9969	0.9939
Total	60000	0.9933	0.9978	0.9955	0.9911