Object Detection on QMUL-OpenLogo
56.1mAPLogo-Yolo
Evaluation Results
| Method | Links | |
|---|---|---|
| Logo-YoloPre-trained Dataset=QMUL-OpenLogo -> LogoDet-3K2020.08 | 56.1 | |
| Logo-YoloPre-trained Dataset=LogoDet-3K2020.08 | 55.37 | |
| Logo-YoloPre-trained Dataset=LogoDet-3K w/o QMUL-OpenLogo2020.08 | 54.46 | |
| YOLOv3Pre-trained Dataset=QMUL-OpenLogo -> LogoDet-3K2020.08 | 54.03 | |
| YOLOv3Pre-trained Dataset=LogoDet-3K2020.08 | 53.69 | |
| Logo-YoloPre-trained Dataset=QMUL-OpenLogo2020.08 | 53.21 | |
| YOLOv3Pre-trained Dataset=LogoDet-3K w/o QMUL-OpenLogo2020.08 | 52.36 | |
| YOLOv3Pre-trained Dataset=QMUL-OpenLogo2020.08 | 51.96 | |
| FR-CNN+CALPre-trained Dataset=QMUL-OpenLogo2020.08 | 51.03 | |
| YOLOv2+CALPre-trained Dataset=QMUL-OpenLogo2020.08 | 49.17 | |
| YOLO9000Pre-trained Dataset=QMUL-OpenLogo2020.08 | 26.33 |