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

Table 7

Sample performance metrics for imageNet.

Class Id	Class name	Precision	Recall	F1	Accuracy (top-1)
36	n016677—8-terrapin	0.9302	0.9756	0.9524	0.9130
113	n019443—0-snail	0.9756	0.9091	0.9412	0.8936
157	n020869—0-papillon	0.9318	0.9762	0.9535	0.9149
292	n021296—4-tiger	0.9219	0.9833	0.9516	0.9104
430	n028024—6-basketball	0.9643	0.9310	0.9474	0.9000
448	n028436—4-birdhouse	0.9500	0.9694	0.9596	0.9223
478	n029713—6-carton	0.9770	0.9444	0.9605	0.9247
650	n037599—4-microphone	0.9216	0.9895	0.9543	0.9143
677	n038047—4-nail	0.9565	0.9888	0.9724	0.9474
889	n045368—6-violin	0.9674	0.9889	0.9780	0.9579
Total		0.9496	0.9656	0.9571	0.9199