{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T17:28:21Z","timestamp":1785432501357,"version":"3.56.0"},"reference-count":52,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T00:00:00Z","timestamp":1776556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100005825","name":"U.S. Department of Agriculture, National Institute of Food and Agriculture","doi-asserted-by":"crossref","award":["2024-67013-42521"],"award-info":[{"award-number":["2024-67013-42521"]}],"id":[{"id":"10.13039\/100005825","id-type":"DOI","asserted-by":"crossref"}]},{"award":["2024-67013-42521"],"award-info":[{"award-number":["2024-67013-42521"]}],"id":[{"id":"https:\/\/ror.org\/05qx3fv49","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In precision apiculture, the portable digital camera is a cost-effective sensor for capturing hive images or videos used to quantify different colony variables. Openly accessible, well-annotated, interoperable cell-level image datasets are still the exception rather than the norm. This shortage constitutes a major barrier to AI-driven approaches aimed at automating image-based comb analysis. In this article, we present FAIRHiveFrames-1K, a publicly available dataset of 1265 annotated hive frame images (1920 \u00d7 1080 PNG) designed to facilitate research in AI-intensive image-based comb analysis automation. The dataset, derived from a 2013\u20132022 U.S. Department of Agriculture\u2013Agricultural Research Service multi-sensor research reservoir, includes 124,669 annotated regions of interest for seven biologically meaningful categories consistent with comb analysis literature and standard hive inspection protocols. FAIRHiveFrames-1K is curated according to FAIR principles (Findable, Accessible, Interoperable, Reusable) and distributed under CC-BY 4.0 with standard annotation formats, fixed training and validation splits, and reproducible benchmarking artifacts. To establish preliminary baseline performance, we iteratively tuned four YOLO architectures (YOLOv8n, YOLOv8s, YOLOv11n, YOLOv11s) under a shared tuning protocol over the period of dataset growth.<\/jats:p>","DOI":"10.3390\/s26082518","type":"journal-article","created":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T08:24:23Z","timestamp":1776673463000},"page":"2518","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["FAIRHiveFrames-1K: A Public FAIR Dataset of 1265 Annotated Hive Frame Images with Preliminary YOLOv8 and YOLOv11 Baselines"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8778-5175","authenticated-orcid":false,"given":"Vladimir","family":"Kulyukin","sequence":"first","affiliation":[{"name":"School of Computing, College of Engineering, Utah State University, Logan, UT 84322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9738-2715","authenticated-orcid":false,"given":"Reagan","family":"Hill","sequence":"additional","affiliation":[{"name":"School of Computing, College of Engineering, Utah State University, Logan, UT 84322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4396-9878","authenticated-orcid":false,"given":"Aleksey","family":"Kulyukin","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, Utah State University, Logan, UT 84322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,19]]},"reference":[{"key":"ref_1","unstructured":"American Beekeeping Federation (2026, February 17). 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