Table 4 Comparison of different object detection algorithms
From: Lightweight highland barley detection based on improved YOLOv5
Model | \(\hbox {mAP}_{0.5}\) | \(\hbox {Parameters}/10^6\) | FLOPs/G |
|---|---|---|---|
M7(Ours) | 93.1 | 1.2 | 3.1 |
YOLOv5n | 90.3 | 1.7 | 4.1 |
Faster R-CNN | 70.6 | 13.9 | 14.0 |
Mask R-CNN | 73.1 | 14.1 | 14.0 |
RetinaNet | 67.8 | 11.7 | 55.6 |
YOLOv7 | 94.8 | 36.4 | 103.2 |
YOLOv8n | 93.8 | 3.0 | 8.1 |