Research Article
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 |
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