Research Article
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 |
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