Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]

Cui, Qingbin

doi:10.5281/zenodo.19268973

i

Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos [supporting dataset]

Dataset Supporting Files

2026-03-28
By Cui, Qingbin

File Language:

English

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Alternative Title:

Annotated Bridge Inspection Imagery and Videos From AI-Powered Defect Detection in Kansas Bridges additional dataset
Creators:

Cui, Qingbin
Corporate Creators:

North Central Regional Planning Commission
Contributors:

Zhang, Yunfeng
Corporate Contributors:

Strengthening Mobility and Revolutionizing Transportation (SMART) Program
Subject/TRT Terms:
DOI:

https://doi.org/10.5281/zenodo.19268973
Resource Type:

Dataset
Geographical Coverage:

United States ; Kansas
Corporate Publisher:

North Central Regional Planning Commission
Abstract:

This repository contains curated dataset and inference results used in the study: "AI-powered bridge defect detection and condition assessment using drone-collected visual data." ; Contents: ; 1. curated_dataset_images_annotations: Annotated images with YOLO-format labels for eight defect classes. ; 2. curated_inference_results_images: Model predictions on test images. ; 3. curated_dataset_bridge_videos: Raw bridge inspection videos. ; The total size of the ZIP file is 20.1 GB.
Content Notes:

This item is made available under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Use the following citation: Tsegaye, N. T. (2026). Curated Dataset and Inference Results for AI-Based Bridge Defect Detection Using Images and Videos Dataset. Zenodo. https://doi.org/10.5281/zenodo.19268973
Format:

ZIP
Funding:

69A3552341015 SMARTFY22N1P1G24
Download URL:

https://rosap.ntl.bts.gov/view/dot/93522/dot_93522_DS1.json
File Type:

[JSON - 11.30 KB]
Collection(s):

Artificial Intelligence Deployment Center of Excellence (AI COE) ; SMART Program ; University Transportation Centers
Main Document Checksum:

urn:sha-512:66d2e5dc41300c9355e4a0ae671ededa69234971063120e84ddace1e98676005ec30d276a07008548049869a8c5df1a01dd54f015e037cc540d15865a7ad9a8c

Zenodo URL

html

File Language:

English

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