Bridge Crack Library
Year: 2021
Type: dataset
Abstract: The bridge crack library (BCL) was an image dataset established to support the deep learning-based crack detection research. This dataset was based on 1180 raw images collected from inspection for in-service bridges. It contains 11000 pixel-wise labeled images with 256×256 resolutions. The dataset could be used to the training of deep neural networks for semantic segmentation of crack images.
Source: Harvard Dataverse
DOI: 10.7910/dvn/rurxsh
Authors: Jin, Tao, Li, Zhexun, Ding, Yang, Ma, Siyuan, Ou, Yihong
Institution: Zhejiang University
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4398908348