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Sekimoto Lab. @ IIS Human Centered Urban Informatics, the University of Tokyo
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a)1st StageExperiment
DetailsofTrainingImagesbyRoadManager
b)2nd StageExperiment
�TotalImages(DamagedImages)
DetailsofTrainingImagesbyRoadManager
�TotalImages(DamagedImages)
Smartphone Judgement(Predicted)
Damage NoDamage
ActualDamage 13 45
NoDamage 14 198
Precision 0.48
Recall 0.22
EvaluationinSite0 EvaluationinSite0
Smartphone Judgement(Predicted)
Damage NoDamage
ActualDamage 49 6
NoDamage 8 183
Precision 0.85
Recall 0.89
CitiesofStudy #of Images
Site1(AdachiWard) 0(0)
Site2 (MuroranCity) 0(0)
Site3(IchiharaCity) 0(0)
Site4(KonanWard) 0(0)
Site5(ChibaCity) 1,514(514)
Site6(NagakuteCity) 0(0)
Total 1,514(514)
CitiesofStudy #of Images
Site1(AdachiWard) 4,460(291)
Site2 (MuroranCity) 9,200(362)
Site3(IchiharaCity) 2,544(150)
Site4(KonanWard) 9,055(396)
Site5(ChibaCity) 1,984(382)
Site6(NagakuteCity) 1,696(70)
Total 28,939(1,651)
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Site4(KonanWard) Site1-4(Allcities)
Site3(IchiharaCity)
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DamageLevel
TrafficVolume
MaxSpeed
LaneNumber
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DamageType
RoadType
RoadWidth
DamageLevel
TrafficVolume
LaneNumber
MaxSpeed
RoadWidth
DamageType
DamageLevel
MaxSpeed
RoadType
TrafficVolume
LaneNumber
DamageType
RoadWidth
DamageLevel
TrafficVolume
MaxSpeed
LaneNumber
RoadType
DamageType
RoadType
RoadWidth
DamageLevel
TrafficVolume
LaneNumber
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�Redmon, J., Divvala, S., Girshick, R., Farhadi, A.You only look once: unified real-time object detection., CVPR (2016)
