Research library

FAIRHiveFrames-1K: A Public FAIR Dataset of 1265 Annotated Hive Frame Images with Preliminary YOLOv8 and YOLOv11 Baselines

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. In this article, we present FAIRHiveFrames-1K, a publicly available dataset of 1265 annotated hive frame images (1920 × 1080 PNG) designed to facilitate research in AI-intensive image-based comb analysis automation. The dataset includes 124,669 annotated regions of interest for seven biologically meaningful categories consistent with comb analysis literature.

Publication details

Authors
Vladimir Kulyukin, Reagan Hill, Aleksey Kulyukin
Organizations
🇺🇸 Utah State University
Year
2026
Type
Journal

Relevancy to Gratheon

This paper is relevant to Gratheon because it directly informs the development of monitoring-platform using technologies like computer-vision, datasets-benchmarks. Its findings and methods can be directly applied to our precision apiculture telemetry and edge diagnostics pipelines to build reliable, scalable beehive monitoring products.