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

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:
  Algorithms Artificial Intelligence Automatic Data Collection Systems Coasts Data Files Machine Learning Pavement Maintenance
• 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
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:92d9ac9b6fca66f4e01fe19b85a6c2703c363a4da746d5dd6501f8c9701b7a0bbb6486540758aed4682b3af539b48c99d12252dc0df018f34d2ad7765060adee
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88175/dot_88175_DS1.json
• File Type:
  [JSON - 8.20 KB ]