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

#ModelMetricClaimedVerifiedStatus
1InconSegmIoU83.88—Unverified