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

Table 6

Sample performance metrics for CIFAR-100.

Class	Number of images	Precision	Recall	F1	Accuracy (top-1)
Beaver	600	0.9479	1.0000	0.9733	0.9490
Aquarium fish	600	0.9892	0.9583	0.9735	0.9495
Orchids	600	0.9677	0.9890	0.9783	0.9583
Bottles	600	0.9583	0.9892	0.9735	0.9495
Apples	600	0.9381	0.9891	0.9630	0.9300
Clock	600	0.9596	0.9896	0.9744	0.9510
Bed	600	0.9551	0.9884	0.9714	0.9457
Bee	600	0.9293	0.9892	0.9583	0.9216
Baby	600	0.9574	0.9890	0.9730	0.9485
Crocodile	600	0.9444	0.9884	0.9659	0.9355
Total	6000	0.9547	0.9870	0.9705	0.9438