{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T14:53:22Z","timestamp":1787064802310,"version":"build-2736575974"},"reference-count":13,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T00:00:00Z","timestamp":1768176000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100005825","name":"National Institute of Food and Agriculture","doi-asserted-by":"publisher","award":["2023\\u201367,014\\u201339,637"],"award-info":[{"award-number":["2023\\u201367,014\\u201339,637"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000194","name":"U.S. Department of State","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000194","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000199","name":"U.S. Department of Agriculture","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000199","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Data in Brief"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1016\/j.dib.2026.112483","type":"journal-article","created":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T17:14:14Z","timestamp":1768583654000},"page":"112483","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":3,"special_numbering":"C","title":["A UAV image dataset for object detection with annotations generated using LabelImg and Roboflow"],"prefix":"10.1016","volume":"65","author":[{"given":"Anindita","family":"Das","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vinitha Hannah","family":"Subburaj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4726-8998","authenticated-orcid":false,"given":"Yong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Craig W.","family":"Bednarz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.dib.2026.112483_bib0001","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.compag.2018.02.016","article-title":"Deep learning in agriculture: a survey","volume":"147","author":"Kamilaris","year":"2018","journal-title":"Comput. Electr. Agricult."},{"key":"10.1016\/j.dib.2026.112483_bib0002","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.compag.2018.05.012","article-title":"Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: a review","volume":"151","author":"Chlingaryan","year":"2018","journal-title":"Comput. Electr. Agricult."},{"issue":"10","key":"10.1016\/j.dib.2026.112483_bib0003","doi-asserted-by":"crossref","first-page":"624","DOI":"10.3390\/drones7100624","article-title":"Deep learning-based weed detection using UAV images: a comparative study","volume":"7","author":"Shahi","year":"2023","journal-title":"Drones"},{"key":"10.1016\/j.dib.2026.112483_bib0004","unstructured":"Bochkovskiy, A., Wang, C.Y., & Liao, H.Y.M. (2020). YOLOv4: Optimal speed and accuracy of object detection. arXiv preprint, arXiv:2004.10934. https:\/\/arxiv.org\/abs\/2004.10934."},{"key":"10.1016\/j.dib.2026.112483_bib0005","article-title":"Weed detection and recognition in complex wheat fields based on an improved YOLOv7","volume":"14","author":"Wang","year":"2023","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.dib.2026.112483_bib0006","article-title":"CottonWeeds: empowering precision weed management through a comprehensive dataset","author":"Rahman","year":"2023","journal-title":"Crop Protect."},{"issue":"1","key":"10.1016\/j.dib.2026.112483_bib0007","doi-asserted-by":"crossref","first-page":"2058","DOI":"10.1038\/s41598-018-38343-3","article-title":"DeepWeeds: a multiclass weed species image dataset for deep learning","volume":"9","author":"Olsen","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.dib.2026.112483_bib0008","author":"Autel"},{"key":"10.1016\/j.dib.2026.112483_bib0009","article-title":"LabelImg \u2013 Image annotation tool","year":"2015","journal-title":"GitHub Repository"},{"key":"10.1016\/j.dib.2026.112483_bib0010","unstructured":"Roboflow. (2024). Roboflow documentation. https:\/\/docs.roboflow.com\/."},{"key":"10.1016\/j.dib.2026.112483_bib0011","first-page":"71","article-title":"Unmanned aerial systems for precision agriculture: current use and future perspectives","volume":"200","author":"Sankaran","year":"2021","journal-title":"Biosyst. Eng."},{"issue":"10","key":"10.1016\/j.dib.2026.112483_bib0012","doi-asserted-by":"crossref","first-page":"313","DOI":"10.3390\/agriengineering7100313","article-title":"YOLOv7 for weed detection in cotton fields using UAV imagery","volume":"7","author":"Das","year":"2025","journal-title":"AgriEngineering"},{"issue":"22","key":"10.1016\/j.dib.2026.112483_bib0013","doi-asserted-by":"crossref","first-page":"3774","DOI":"10.3390\/rs17223774","article-title":"KFGOD: a fine-grained object detection dataset in KOMPSAT satellite imagery","volume":"17","author":"Lee","year":"2025","journal-title":"Remote Sens."}],"container-title":["Data in Brief"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352340926000363?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352340926000363?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T07:36:06Z","timestamp":1776843366000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352340926000363"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":13,"alternative-id":["S2352340926000363"],"URL":"https:\/\/doi.org\/10.1016\/j.dib.2026.112483","relation":{"is-supplemented-by":[{"id-type":"uri","id":"https:\/\/data.mendeley.com\/datasets\/sx2tphzvcw\/1","asserted-by":"subject"}]},"ISSN":["2352-3409"],"issn-type":[{"value":"2352-3409","type":"print"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A UAV image dataset for object detection with annotations generated using LabelImg and Roboflow","name":"articletitle","label":"Article Title"},{"value":"Data in Brief","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.dib.2026.112483","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"112483"}}