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

Table 3

Sample performance metrics for caltech-101.

Class	Number of images	Precision	Recall	F1	Accuracy (top-1)
Airplanes	800	0.9821	0.9821	0.9821	0.9651
Bonsai	128	0.9750	0.9750	0.9750	0.9535
Camera	50	1.0000	0.9375	0.9677	0.9444
Cannon	43	1.0000	0.9286	0.9630	0.9375
Dalmatian	67	0.9500	1.0000	0.9744	0.9545
Elephant	64	0.9474	0.9474	0.9474	0.9091
Euphonium	64	1.0000	0.9500	0.9744	0.9545
Faces	435	0.9923	0.9923	0.9923	0.9850
Pizza	53	1.0000	0.9412	0.9697	0.9474
Soccer_ball	64	1.0000	0.9500	0.9744	0.9545
Sunflower	85	0.9615	0.9615	0.9615	0.9310
Total	9115	0.9722	0.9437	0.9571	0.9270