BeeSAM2: detecting bees in cherry flowers using timelapse images and foundational models

Research output: Working paper › Preprint

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@techreport{724910aaa2f143f9b60cbe25a75c35ee,

title = "BeeSAM2: detecting bees in cherry flowers using timelapse images and foundational models",

author = "Jane Devlin and Fraser MacFarlane and Alison Karley and Fabio Manfredini and Dominic Williams",

year = "2025",

month = aug,

day = "4",

doi = "10.1101/2025.08.01.668108",

language = "English",

publisher = "bioRxiv",

type = "WorkingPaper",

institution = "bioRxiv",

}

TY - UNPB

T1 - BeeSAM2: detecting bees in cherry flowers using timelapse images and foundational models

AU - Devlin, Jane

AU - MacFarlane, Fraser

AU - Karley, Alison

AU - Manfredini, Fabio

AU - Williams, Dominic

PY - 2025/8/4

Y1 - 2025/8/4

UR - https://doi.org/10.1101/2025.08.01.668108

U2 - 10.1101/2025.08.01.668108

DO - 10.1101/2025.08.01.668108

M3 - Preprint

BT - BeeSAM2: detecting bees in cherry flowers using timelapse images and foundational models

PB - bioRxiv

ER -