Images of 8 beehive entrances with annotated bees in the publicly provided bee detection dataset [10].

<p>Images (a–h) represent different entrance ramps. Five hives (d–h) feature extended landing boards, used to facilitate bee landings. All the bees are assigned to one class, regardless of whether they are partially occluded, fully visible, blurred, or carrying pollen. Drones (g) are classifie...

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Bibliographic Details
Main Author:	Tomyslav Sledevič (20783469) (author)
Other Authors:	Artūras Serackis (20783472) (author), Dalius Matuzevičius (11440766) (author), Darius Plonis (20783475) (author), Gabriela Vdoviak (20783478) (author)
Published:	2025
Subjects:	Neuroscience Sociology Science Policy Biological Sciences not elsewhere classified Information Systems not elsewhere classified tracking algorithms tailored thereby minimizing disturbances occurrence density maps key contributions include facilitating timely interventions analyzing spatial trajectories improving hive health hive &# 8217 honeybee behavior patterns various object detection movement speed within mean detection accuracy hive management hive entrance behavior recognition bee behavior bee detection xlink "> work lays visual recognition visual analysis surpassing state study presents significantly contributing path trajectory overlapping behaviors novel method manual inspections landing board including location findings indicate eight beehives designated area comprehensive dataset comparative evaluation art methods 7200 frames 36 fps
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Images of 8 beehive entrances with annotated bees in the publicly provided bee detection dataset [10].

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