Table 3 Comparative analysis of efficiency and AP between YOLOv7_CNFG and YOLOx models
From: HM_ADET: a hybrid model for automatic detection of eyelid tumors based on photographic images
Model | Size (MB) | Parameters (M) | Testing time (s) | GFLOPs | AP |
|---|---|---|---|---|---|
YOLOv7_CNFG | 71.3 | 36.5 | 0.191 | 103.20 | 0.893 |
YOLOx-s | 68.5 | 18.4 | 0.255 | 28.70 | 0.780 |
YOLOx-m | 193.0 | 25.3 | 0.338 | 73.73 | 0.786 |
YOLOx-l | 413.0 | 54.2 | 0.534 | 155.67 | 0.809 |
YOLOx-x | 756.0 | 99.0 | 0.931 | 282.03 | 0.812 |