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Object Detection on Digital World Vehicle Detection Dataset (test)

92.07Precision@0.5Raw
60.911669.000877.0985.1792Mar 1, 2021

Evaluation results

MethodLinks
RawTarget Model=Yolo-V52021.0392.07
RawTarget Model=Mask R-CNN2021.0389.24
RawTarget Model=Faster R-CNN2021.0386.04
UPCTarget Model=Yolo-V52021.0382.41
UPCTarget Model=Mask R-CNN2021.0381.97
RawTarget Model=SSD2021.0381.54
MeshAdvTarget Model=Mask R-CNN2021.0380.84
UPCTarget Model=Faster R-CNN2021.0376.94
CAMOUTarget Model=Mask R-CNN2021.0376.44
UPCTarget Model=SSD2021.0374.58
CAMOUTarget Model=Yolo-V52021.0374.01
CAMOUTarget Model=SSD2021.0373.81
DASTarget Model=Yolo-V52021.0372.58
MeshAdvTarget Model=Yolo-V52021.0372.45
MeshAdvTarget Model=Faster R-CNN2021.0371.84
DASTarget Model=Mask R-CNN2021.0370.21
CAMOUTarget Model=Faster R-CNN2021.0369.64
MeshAdvTarget Model=SSD2021.0366.44
DASTarget Model=SSD2021.0365.81
DASTarget Model=Faster R-CNN2021.0362.11