RDD2020: An annotated image dataset for automatic road damage detection using deep learning

Title
RDD2020: An annotated image dataset for automatic road damage detection using deep learning
Authors
Keywords
Road damage dataset, Deep learning, Structural health monitoring, Road infrastructure, Automatic road condition monitoring, Smartphone-based road damage detection and classification, Pavement surface condition assessment, Crack recognition, Image, Quantification, Data qualification
Journal
Data in Brief
Volume 36, Issue -, Pages 107133
Publisher
Elsevier BV
Online
2021-05-12
DOI
10.1016/j.dib.2021.107133

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started