Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data]

Wang, Feng; Sanchez, Carlos; Bai, Yongsheng; Luo, Xiaohua

doi:10.5281/zenodo.17095715

i

Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements [supporting data]

Dataset Supporting Files

2025-09-11
By Wang, Feng ; Sanchez, Carlos ; Bai, Yongsheng

File Language:

English

Select the Download button to view the document

This document file type cannot be previewed

Details

Creators:

Wang, Feng ; Sanchez, Carlos ; Bai, Yongsheng ; Luo, Xiaohua
Corporate Creators:

Texas State University--San Marcos
Corporate Contributors:

CREATE - Coastal REsearch And Transportation Education
Subject/TRT Terms:
DOI:

https://doi.org/10.5281/zenodo.17095715
Resource Type:

Dataset
Right Statement:

Open Access; https://creativecommons.org/licenses/by/4.0/
Geographical Coverage:

United States
Corporate Publisher:

CREATE - Coastal REsearch And Transportation Education
Abstract:

Tables and graphs for deep learning model performance not used in the Coastal REsearch And Transportation Education (CREATE) Report for Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements. These include performance metrics such as precision, recall, and mean average precision at 50% overlap (mAP50) for each model used in the study along with detection rates for each item on the class list.
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: Wang, F., Bai, Y., & Sanchez, C. (2025). Data for: Deep Learning Based Automated Data Collection Technology for Coastal Highway Pavements. Zenodo. https://doi.org/10.5281/zenodo.17095715
Format:

DOC
Funding:

69A3552348330
Download URL:

https://rosap.ntl.bts.gov/view/dot/88175/dot_88175_DS1.json
File Type:

[JSON - 8.20 KB]
Collection(s):

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

urn:sha-512:92d9ac9b6fca66f4e01fe19b85a6c2703c363a4da746d5dd6501f8c9701b7a0bbb6486540758aed4682b3af539b48c99d12252dc0df018f34d2ad7765060adee

CREATE Data Share

Download docx

File Language:

English

ON THIS PAGE

Details Supporting Files

Found an issue?

Send us an email at:

publishinghd@cdc.gov

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.