Research Article
An Integrated Model for On-Site Teaching Quality Evaluation Based on Deep Learning
Table 5
Performance comparison of each algorithm.
| Model | Backbone network | FPS | AP (%) | Parameters | GMACS |
| YOLO3 | Darknet-53 | 46 | 91.65 | 61.52M | 27.91 | YOLO4 | CSPDarknet53 | 30 | 92.4 | 63.94M | 25.46 | YOLO5-S | Focus+CSP | 47 | 91.9 | 7.06M | 2.95 | YOLO5-M | Focus+CSP | 38 | 92.8 | 21.06M | 9.07 | YOLO5-L | Focus+CSP | 29 | 93.8 | 47.06M | 20.81 | YOLO5-X | Focus+CSP | 23 | 94.2 | 87.78M | 39.43 | YOLOX-S | Focus+CSP | 45 | 93.1 | 8.94M | 4.79 | YOLOX-M | Focus+CSP | 34 | 93.6 | 25.28M | 13.23 | YOLOX-L | Focus+CSP | 27 | 94.1 | 54.21M | 28.02 | YOLOX-X | Focus+CSP | 23 | 94.5 | 99.07M | 50.75 |
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