Image Classification on Traffic Sign Recognition Image-based Evaluation
78.89Average Precision (AP)LENS-Net
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LENS-NetInference Hardware=CPU, FPS (end-to-end)=33.87, Evaluation Mode=Image-based2026.06 | 78.89 | 75.56 | 88.59 | |
| YOLO-TSInference Hardware=Jetson Orin Nano GPU, FPS (end-to-end)=63.36, Evaluation Mode=Image-based2026.06 | 75.08 | 74.43 | 89.7 | |
| YOLO-LLTSInference Hardware=Jetson Orin Nano GPU, FPS (end-to-end)=56.30, Evaluation Mode=Image-based2026.06 | 68.28 | 58.13 | 83.89 |