SOTAVerified

Road Damage Detection

Road damage detection is the task of detecting damage in roads.

( Image credit: Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 27 papers

TitleStatusHype
RDD2022: A multi-national image dataset for automatic Road Damage DetectionCode2
Road Damage Detection Using Deep Neural Networks with Images Captured Through a SmartphoneCode1
CNN Model & Tuning for Global Road Damage DetectionCode1
Computer-Aided Road Inspection: Systems and AlgorithmsCode1
An Efficient and Scalable Deep Learning Approach for Road Damage DetectionCode1
Road Damage Detection using Deep Ensemble LearningCode1
InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles SegmentationCode1
Deep Learning Frameworks for Pavement Distress Classification: A Comparative AnalysisCode1
Road Damage Detection and Classification with Detectron2 and Faster R-CNNCode1
Transfer Learning-based Road Damage Detection for Multiple CountriesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InconSegmIoU83.88—Unverified