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

Table 4

Sample performance metrics for caltech-256.

Class	Number of images	Precision	Recall	F1	Accuracy (top-1)
002. American-flag	78	0.8750	0.9545	0.9130	0.8519
046. Computer-monitor	106	0.9688	0.8857	0.9254	0.8684
064. Elephant-101	105	0.9688	0.9688	0.9688	0.9429
105. Horse	216	0.9077	0.9833	0.9440	0.8971
127. Laptop-101	102	0.9355	0.8788	0.9063	0.8286
145. Motorbikes-101	638	0.9948	0.9694	0.9819	0.9645
232. T-shirt	286	0.9535	0.8913	0.9213	0.8571
240. Watch-101	161	0.9167	0.9778	0.9462	0.9020
251. Airplanes-101	640	0.9792	0.9947	0.9869	0.9744
253. Faces-easy-101	348	0.9519	0.9900	0.9706	0.9439
Total	2680	0.9452	0.9494	0.9464	0.9031