List your company
ResearchFormerly WizWand

Object Detection on Casting Billet

79.8mAP@.5AGBP
55.77662.01368.2574.487Sep 23, 2025
Updated 5mo ago

Evaluation results

MethodLinks
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0979.844.3
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=SimMIM2025.0978.848.4
SimMIMBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.0978.344.3
AGSSPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0977.745
AGSSPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0977.244.9
AGBPBackbone=Swin-Base, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0976.839
SimMIMBackbone=Swin-Base, Pretraining Dataset=Industrial2025.0976.541.5
ClassificationBackbone=Swin-Base, Pretraining Dataset=ImageNet2025.0975.737.7
DetectionBackbone=CSPDarknet, Pretraining Dataset=COCO2025.0975.143.9
AGBPBackbone=CSPDarknet, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0974.937.5
AGSSPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0974.542.5
Training from scratchBackbone=CSPDarknet2025.0974.237.1
AGSSPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0973.542.5
ClassificationBackbone=Swin-Base, Pretraining Dataset=Industrial2025.0973.336
ClassificationBackbone=CSPDarknet, Pretraining Dataset=Industrial2025.0972.834.7
AGBPBackbone=WideResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.0972.537.8
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=Classification2025.097236.1
ClassificationBackbone=CSPDarknet, Pretraining Dataset=ImageNet2025.0971.633.5
ClassificationBackbone=WideResNet50, Pretraining Dataset=ImageNet2025.0971.534.6
AGBPBackbone=ResNet50, Pretraining Dataset=Industrial, Base Pretraining=MoCov32025.0971.433.1
MoCov3Backbone=ResNet50, Pretraining Dataset=Industrial2025.0971.336.8
MoCov3Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0970.233.9
ClassificationBackbone=ResNet50, Pretraining Dataset=ImageNet2025.0969.132.3
ClassificationBackbone=ResNet50, Pretraining Dataset=Industrial2025.0969.133.6
DINOv1Backbone=ResNet50, Pretraining Dataset=ImageNet2025.0967.834.5
Training from scratchBackbone=Swin-Base2025.0961.130.1
Training from scratchBackbone=ResNet502025.0956.727