(University of North Dakota) SDNET2021 is a uniquely validated annotated dataset for evaluating the condition of concrete bridge decks and benchmarking advanced deep learning models for defects (delamination, cracks, rebar corrosion) detection and bridge deck evaluation. SDNET2021 contains 1,936 annotated IE signals, over 663,102 annotated GPR signals and five (5) mosaic annotated IRT images containing about 4,580,680 annotated pixels collected during 2020 summer from five (5) in-service bridge decks in Grand forks, ND, USA.
Link to Dataset
Annotated NDE Dataset for Structural Defects
Date last updated: June 4, 2021