Object Detection on MAPFusion
94.01mAP50ShipYOLO11n
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ShipYOLO11nPre-training=WUTDet, Params(M)=2.6, GFLOPs=32.1, Input size=1920 × 1080, FPS=77.192026.07 | 94.01 | 62.97 | |
| YOLOv8nPre-training=WUTDet, Params(M)=3.0, GFLOPs=8.2, Input size=640 × 640, FPS=350.172026.07 | 91.23 | 56.16 | |
| YOLO11nPre-training=WUTDet, Params(M)=2.6, GFLOPs=6.4, Input size=640 × 640, FPS=565.282026.07 | 91.03 | 55.87 | |
| YOLOv10nPre-training=WUTDet, Params(M)=2.7, GFLOPs=8.4, Input size=640 × 640, FPS=482.842026.07 | 89.54 | 54.24 | |
| YOLO11nPre-training=COCO, Params(M)=2.6, GFLOPs=6.4, Input size=640 × 640, FPS=565.282026.07 | 58.37 | 28.55 | |
| YOLOv8nPre-training=COCO, Params(M)=3.0, GFLOPs=8.2, Input size=640 × 640, FPS=350.172026.07 | 54.58 | 27.18 | |
| YOLOv10nPre-training=COCO, Params(M)=2.7, GFLOPs=8.4, Input size=640 × 640, FPS=482.842026.07 | 38.2 | 20.4 |