Table 1 Model prediction performance comparison of object detection with deep learning.
From: Heat-vision based drone surveillance augmented by deep learning for critical industrial monitoring
Model | mAP50 | mAP50-95 | Params | FLOPS |
|---|---|---|---|---|
YOLOv5n35 | 0.973 | 0.742 | 1.9Â M | 4.5 G |
YOLOv5s35 | 0.970 | 0.767 | 7.5Â M | 16.5 G |
YOLOv5m35 | 0.971 | 0.756 | 21.2Â M | 49 G |
YOLOv8n36 | 0.977 | 0.779 | 3.2Â M | 8.7 G |
YOLOv8s36 | 0.981 | 0.799 | 11.2Â M | 28.6 G |
YOLOv8m36 | 0.981 | 0.804 | 25.9Â M | 78.9 G |
NanoDet-Plus37 | 0.959 | 0.716 | 1.17Â M | 1.52 G |
Mask R-CNN-1017 | 0.919 | 0.716 | 55Â M | 937 G |
Mask R-CNN-507 | 0.916 | 0.711 | 36Â M | 890 G |