Object Detection on VisDrone DET 2019 (Efficiency Metrics)
8.4Latency (ms)YOLOv5n
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| YOLOv5nHardware Platform=Jetson AGX Orin, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 8.4 | 119 | 18.6 | |
| YOLO11nHardware Platform=Jetson AGX Orin, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 9.2 | 108.7 | 19.3 | |
| OSDHardware Platform=Jetson AGX Orin, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 10.8 | 92.6 | 20.5 | |
| YOLOv10nHardware Platform=Jetson AGX Orin, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 11.5 | 87 | 21.1 | |
| YOLOv8nHardware Platform=Jetson AGX Orin, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 12.8 | 78.1 | 22.4 | |
| LAF-YOLOv10Hardware Platform=Jetson AGX Orin, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 15.3 | 65.4 | 24.8 | |
| YOLOv5nHardware Platform=Jetson Orin Nano, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 24.1 | 41.5 | 8.2 | |
| YOLO11nHardware Platform=Jetson Orin Nano, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 26.8 | 37.3 | 8.9 | |
| OSDHardware Platform=Jetson Orin Nano, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 29.4 | 34 | 9.5 | |
| YOLOv10nHardware Platform=Jetson Orin Nano, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 31.2 | 32.1 | 9.8 | |
| YOLOv8nHardware Platform=Jetson Orin Nano, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 33.7 | 29.7 | 10.1 | |
| LAF-YOLOv10Hardware Platform=Jetson Orin Nano, Batch Size=1, Precision=FP16, Software Backend=TensorRT 8.62026.02 | 41.2 | 24.3 | 11.4 |