{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T19:15:02Z","timestamp":1779218102500,"version":"3.51.4"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020856","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T14:35:23Z","timestamp":1674743723000},"page":"6416-6423","source":"Crossref","is-referenced-by-count":66,"title":["Road Damage Detection and Classification with YOLOv7"],"prefix":"10.1109","author":[{"given":"Vung","family":"Pham","sequence":"first","affiliation":[{"name":"Sam Houston State University,Computer Science Department,Huntsville,Texas,United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Du","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Sam Houston State University,Computer Science Department,Huntsville,Texas,United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Donan","sequence":"additional","affiliation":[{"name":"Sam Houston State University,Computer Science Department,Huntsville,Texas,United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2021.103935"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9377790"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9377833"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378027"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01352"},{"key":"ref11","first-page":"21","article-title":"Ssd: Single shot multibox detector","author":"liu","year":"2016","journal-title":"European Conference on Computer Vision"},{"key":"ref10","article-title":"Yolov4: Optimal speed and accuracy of object detection","author":"bochkovskiy","year":"2020","journal-title":"arXiv preprint arXiv 2004 10934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref2","article-title":"Maintenance Operations and Performance Analysis Report (MOPAR)","year":"0"},{"key":"ref1","article-title":"Pothole Damage Costs U.S. Drivers $3 Billion Annually","year":"0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref16","article-title":"YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors","author":"wang","year":"2022","journal-title":"arXiv preprint arXiv 2207 02696"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107133"},{"key":"ref18","article-title":"Rdd2020: an image dataset for smartphone-based road damage detection and classification","volume":"1","author":"arya","year":"2021","journal-title":"Mendeley Data"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006542"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9377988"},{"key":"ref9","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3406601.3406644"},{"key":"ref3","article-title":"RDD2022 - The multi-national Road Damage Dataset released through CRDDC&#x2019;2022","author":"arya","year":"2022","journal-title":"figshare 10 6084\/m9 figshare 21431547 v1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BigData52589.2021.9671527"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106539"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","location":"Osaka, Japan","start":{"date-parts":[[2022,12,17]]},"end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020856.pdf?arnumber=10020856","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T17:06:51Z","timestamp":1676912811000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020856\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020856","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}