Research Article
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 |
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