Road Damage Detection and Classification with Detectron2 and Faster R-CNN

by   Vung Pham, et al.

The road is vital for many aspects of life, and road maintenance is crucial for human safety. One of the critical tasks to allow timely repair of road damages is to quickly and efficiently detect and classify them. This work details the strategies and experiments evaluated for these tasks. Specifically, we evaluate Detectron2's implementation of Faster R-CNN using different base models and configurations. We also experiment with these approaches using the Global Road Damage Detection Challenge 2020, A Track in the IEEE Big Data 2020 Big Data Cup Challenge dataset. 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. This approach results in F1 scores of 51.0 sets of the challenge, respectively. Though the visualizations show good prediction results, the F1 scores are low. Therefore, we also evaluate the prediction results against the existing annotations and discover some discrepancies. Thus, we also suggest strategies to improve the labeling process for this dataset.



page 5

page 7

page 8


Global Road Damage Detection: State-of-the-art Solutions

This paper summarizes the Global Road Damage Detection Challenge (GRDDC)...

A Computer Vision-assisted Approach to Automated Real-Time Road Infrastructure Management

Accurate automated detection of road pavement distresses is critical for...

Road Damage Detection using Deep Ensemble Learning

Road damage detection is critical for the maintenance of a road, which t...

CNN Model Tuning for Global Road Damage Detection

This paper provides a report on our solution including model selection, ...

Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis

Automatic detection and classification of pavement distresses is critica...

An Efficient and Scalable Deep Learning Approach for Road Damage Detection

Pavement condition evaluation is essential to time the preventative or r...

FasterRCNN Monitoring of Road Damages: Competition and Deployment

Maintaining aging infrastructure is a challenge currently faced by local...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.