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ResearchFormerly WizWand

Object Detection on Steel Pipe

81.4mAP@0.5AGBP
35.43247.36659.371.234Sep 23, 2025
Updated 5mo ago

Evaluation results

MethodLinks
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0981.443.7
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.097943.7
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0978.744
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0978.239.9
ClassificationBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.097839
SimMIMBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.0977.540.7
SimMIMBackbone=Swin-Base, Pretraining Dataset=Industrial2025.0977.540.1
AGSSPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0976.742.3
AGSSPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0976.442.7
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0974.940.6
ClassificationBackbone=Swin-Base, Pretraining Dataset=Industrial2025.0974.937.1
ClassificationBackbone=CSPDarknet, Pretraining Dataset=ImageNet2025.0974.338.7
AGBPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0974.239.7
AGSSPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0974.240.4
ClassificationBackbone=ResNet50, Pretraining Dataset=ImageNet2025.0973.838.9
ClassificationBackbone=CSPDarknet, Pretraining Dataset=Industrial2025.0973.338.2
ClassificationBackbone=ResNet50, Pretraining Dataset=Industrial2025.0973.239.8
DetectionBackbone=CSPDarknet, Pretraining Dataset=COCO2025.0972.741.6
AGBPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0971.736.8
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=MoCov32025.097136.6
MoCov3Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0970.737.1
MoCov3Backbone=ResNet50, Pretraining Dataset=Industrial2025.0970.637
ClassificationBackbone=WideResNet50, Pretraining Dataset=ImageNet2025.0969.935.8
DINOv1Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0969.134.8
Training from scratchBackbone=CSPDarknet2025.0968.835.5
Training from scratchBackbone=Swin-Base2025.0955.727.7
Training from scratchBackbone=ResNet502025.0937.216.3