Road Damage Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (27 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• An Efficient and Scalable Deep Learning Approach for Road Damage Detection
  18 Nov 2020 2 repositories listed
  Pavement condition evaluation is essential to time the preventative or rehabilitative actions and control distress propagation.
• FasterRCNN Monitoring of Road Damages: Competition and Deployment
  22 Oct 2020 2 repositories listed
  Maintaining aging infrastructure is a challenge currently faced by local and national administrators all around the world.
• Transfer Learning-based Road Damage Detection for Multiple Countries
  30 Aug 2020 2 repositories listed
  Lastly, we provide recommendations for readers, local agencies, and municipalities of other countries when one other country publishes its data and model for automatic road damage detection and classification.
• Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
  29 Jan 2018 2 repositories listed
  This dataset is composed of 9, 053 road damage images captured with a smartphone installed on a car, with 15, 435 instances of road surface damage included in these road images.
• RDD4D: 4D Attention-Guided Road Damage Detection And Classification
  6 Jan 2025 1 repository listed
  Moreover, we also provide results on the CrackTinyNet dataset; our model achieved around a 0.
• Real-Time Dynamic Scale-Aware Fusion Detection Network: Take Road Damage Detection as an example
  4 Sep 2024 1 repository listed
  Experimental results on the UAV-PDD2023 public dataset show that our model RT-DSAFDet achieves a mAP50 of 54.
• InconSeg: Residual-Guided Fusion With Inconsistent Multi-Modal Data for Negative and Positive Road Obstacles Segmentation
  2 May 2023 1 repository listed
  Segmentation of road obstacles, including negative and positive obstacles, is critical to the safe navigation of autonomous vehicles.
• RDD2022: A multi-national image dataset for automatic Road Damage Detection
  18 Sep 2022 1 repository listed
  The data article describes the Road Damage Dataset, RDD2022, which comprises 47, 420 road images from six countries, Japan, India, the Czech Republic, Norway, the United States, and China.
• Computer-Aided Road Inspection: Systems and Algorithms
  4 Mar 2022 1 repository listed
  Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety.
• CNN Model & Tuning for Global Road Damage Detection
  17 Mar 2021 1 repository listed
  We briefly describe the tuning strategy for the experiments conducted on two-stage Faster R-CNN with Deep Residual Network (Resnet) and Feature Pyramid Network (FPN) backbone.
• Road Damage Detection using Deep Ensemble Learning
  30 Oct 2020 1 repository listed
  Road damage detection is critical for the maintenance of a road, which traditionally has been performed using expensive high-performance sensors.
• Road Damage Detection and Classification with Detectron2 and Faster R-CNN
  28 Oct 2020 1 repository listed
  The results show that the X101-FPN base model for Faster R-CNN with Detectron2's default configurations are efficient and general enough to be transferable to different countries in this challenge.
• Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
  21 Oct 2020 1 repository listed
  In this study, the authors deploy state-of-the-art deep learning algorithms based on different network backbones to detect and characterize pavement distresses.
• Road Damage Detection Based on Unsupervised Disparity Map Segmentation
  11 Oct 2019 1 repository listed
  This paper presents a novel road damage detection algorithm based on unsupervised disparity map segmentation.
• Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN
  12 Nov 2018 1 repository listed
  In particular we show that Mask-RCNN, one of the state-of-the-art algorithms for object detection, localization and instance segmentation of natural images, can be used to perform this task in a fast manner with…