Table 1 Object detection models.
From: Consistent vehicle trajectory extraction from aerial recordings using oriented object detection
\(\hbox {N}^{\,circ}\) | Type | Family | Neural Network Architecture | Ref. | #Params(M) | mAP(50-95) | (50) |
|---|---|---|---|---|---|---|---|
1 | OBB | openmmlab | 73.5 | 46.27 | 73.45 | ||
2 | OBB | openmmlab | 82.6 | 47.68 | 75.69 | ||
3 | OBB | openmmlab | 65.3 | 50.32 | 79.87 | ||
4 | OBB | openmmlab | 110.5 | 50.19 | 79.66 | ||
5 | OBB | openmmlab | 73.2 | 48.20 | 76.50 | ||
6 | OBB | openmmlab | 77.5 | 46.74 | 74.19 | ||
7 | OBB | ultralytics | 3.1 | 49.15 | 78.01 | ||
8 | OBB | ultralytics | 11.4 | 50.10 | 79.52 | ||
9 | OBB | ultralytics | 26.4 | 50.75 | 80.55 | ||
10 | OBB | ultralytics | 44.5 | 50.86 | 80.73 | ||
11 | OBB | ultralytics | 69.5 | 51.26 | 81.36 | ||
12 | HBB | openmmlab | 41.4 | 26.10 | 39.80 | ||
13 | HBB | openmmlab | 36.6 | 22.60 | 36.21 | ||
14 | HBB | ultralytics | yolov8n\(*\) | 3.2 | 27.63 | 44.35 | |
15 | HBB | ultralytics | yolov8s\(*\) | 11.2 | 30.70 | 48.41 | |
16 | HBB | ultralytics | yolov8m\(*\) | 25.9 | 32.94 | 51.05 | |
17 | HBB | ultralytics | yolov8l\(*\) | 43.7 | 33.62 | 51.74 | |
18 | HBB | ultralytics | yolov8x\(*\) | 68.2 | 35.55 | 53.86 |
