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Research topic: Datasets Benchmarks

Papers, datasets, models, and field notes are connected into a practical research map for digital beekeeping, from academic references to applied Gratheon experiments.

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Publication Year Institutions
BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects2026🇬🇧 University of Oxford; 🇬🇧 Queen Mary University of London; 🇬🇧 University of Edinburgh
Detection and classification of honeybee castes using thermal imaging and deep learning2026🇮🇷 Razi University
Estimating colony strength and pollination efficiency in honey bees using a novel dataset and deep learning-based models2026🇺🇸 University of Arkansas at Fayetteville; 🇺🇸 Washington State University; 🇺🇸 University of Arkansas System; 🇺🇸 Mississippi State University; 🇺🇸 University of Tennessee at Knoxville
FAIRHiveFrames-1K: A Public FAIR Dataset of 1265 Annotated Hive Frame Images with Preliminary YOLOv8 and YOLOv11 Baselines2026🇺🇸 Utah State University
InsectDCT: A generalized pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings2026🇩🇰 Aarhus University; 🇩🇪 Helmholtz Centre for Environmental Research; 🇪🇸 Mediterranean Institute for Advanced Studies; 🇬🇪 Ilia State University
PolliCrop: A high-throughput computer vision pipeline for pollinator monitoring in agroecosystems2026🇫🇷 INRAE; 🇫🇷 CNRS; 🇺🇸 University of California, Berkeley; 🇩🇪 Julius Kühn Institute; 🇩🇪 Technische Universität Braunschweig
Small-Pollinator Detection in Cluttered Field Video2026🇺🇸 Iowa State University; 🇺🇸 University of Central Florida
Spectrogram-Based Deep Learning Models for Acoustic Identification of Honey Bees in Complex Environmental Noises2026🇵🇰 Namal University; 🇵🇰 University of Mianwali; 🇦🇪 Abu Dhabi University; 🇹🇷 Nişantaşı University
Where Is the Bee? Detecting Tiny Pollinators with a Single Collaborative-Head Transformer2026🇰🇷 Ulsan National Institute of Science and Technology (UNIST)
buzzdetect: an open-source deep learning tool for automated bioacoustic pollinator monitoring2025🇺🇸 The Ohio State University; 🇺🇸 Dartmouth College
Fast, accurate measurement of the worker populations of honey bee colonies using deep learning2025🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
Image-based honey bee larval viral and bacterial diagnosis using machine learning2025🇺🇸 USDA Carl Hayden Bee Research Center; 🇺🇸 University of Arizona; 🇺🇸 Arizona Science Center
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset2025🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
Bee Together: Joining Bee Audio Datasets for Hive Extrapolation in AI-Based Monitoring2024🇫🇷 University of Toulon
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter2024🇹🇭 King Mongkut's University of Technology Thonburi (KMUTTH)
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees2024🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
BeeNet: An End-To-End Deep Network For Bee Surveillance2023🇦🇺 Australian National University; 🇧🇩 BRAC University; 🇦🇺 Curtin University; 🇦🇺 Commonwealth Scientific and Industrial Research Organisation
Labeled dataset for bee detection and direction estimation on entrance to beehive2023🇱🇹 Vilnius Gediminas Technical University
Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision2022🇵🇷 University of Puerto Rico
Audio, Image, Video, and Weather Datasets for Continuous Electronic Beehive Monitoring2021🇺🇸 Utah State University
Automatic detection and classification of honey bee comb cells using deep learning2020🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne
DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives2019🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai
LabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video2019🇵🇷 University of Puerto Rico
Publication Year Institutions
BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects2026🇬🇧 University of Oxford; 🇬🇧 Queen Mary University of London; 🇬🇧 University of Edinburgh
Detection and classification of honeybee castes using thermal imaging and deep learning2026🇮🇷 Razi University
Estimating colony strength and pollination efficiency in honey bees using a novel dataset and deep learning-based models2026🇺🇸 University of Arkansas at Fayetteville; 🇺🇸 Washington State University; 🇺🇸 University of Arkansas System; 🇺🇸 Mississippi State University; 🇺🇸 University of Tennessee at Knoxville
FAIRHiveFrames-1K: A Public FAIR Dataset of 1265 Annotated Hive Frame Images with Preliminary YOLOv8 and YOLOv11 Baselines2026🇺🇸 Utah State University
InsectDCT: A generalized pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings2026🇩🇰 Aarhus University; 🇩🇪 Helmholtz Centre for Environmental Research; 🇪🇸 Mediterranean Institute for Advanced Studies; 🇬🇪 Ilia State University
PolliCrop: A high-throughput computer vision pipeline for pollinator monitoring in agroecosystems2026🇫🇷 INRAE; 🇫🇷 CNRS; 🇺🇸 University of California, Berkeley; 🇩🇪 Julius Kühn Institute; 🇩🇪 Technische Universität Braunschweig
Small-Pollinator Detection in Cluttered Field Video2026🇺🇸 Iowa State University; 🇺🇸 University of Central Florida
Spectrogram-Based Deep Learning Models for Acoustic Identification of Honey Bees in Complex Environmental Noises2026🇵🇰 Namal University; 🇵🇰 University of Mianwali; 🇦🇪 Abu Dhabi University; 🇹🇷 Nişantaşı University
Where Is the Bee? Detecting Tiny Pollinators with a Single Collaborative-Head Transformer2026🇰🇷 Ulsan National Institute of Science and Technology (UNIST)
Publication Year Institutions
buzzdetect: an open-source deep learning tool for automated bioacoustic pollinator monitoring2025🇺🇸 The Ohio State University; 🇺🇸 Dartmouth College
Fast, accurate measurement of the worker populations of honey bee colonies using deep learning2025🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
Image-based honey bee larval viral and bacterial diagnosis using machine learning2025🇺🇸 USDA Carl Hayden Bee Research Center; 🇺🇸 University of Arizona; 🇺🇸 Arizona Science Center
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset2025🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
Publication Year Institutions
Bee Together: Joining Bee Audio Datasets for Hive Extrapolation in AI-Based Monitoring2024🇫🇷 University of Toulon
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter2024🇹🇭 King Mongkut's University of Technology Thonburi (KMUTTH)
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees2024🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
Publication Year Institutions
BeeNet: An End-To-End Deep Network For Bee Surveillance2023🇦🇺 Australian National University; 🇧🇩 BRAC University; 🇦🇺 Curtin University; 🇦🇺 Commonwealth Scientific and Industrial Research Organisation
Labeled dataset for bee detection and direction estimation on entrance to beehive2023🇱🇹 Vilnius Gediminas Technical University
Publication Year Institutions
Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision2022🇵🇷 University of Puerto Rico
Publication Year Institutions
Audio, Image, Video, and Weather Datasets for Continuous Electronic Beehive Monitoring2021🇺🇸 Utah State University
Publication Year Institutions
Automatic detection and classification of honey bee comb cells using deep learning2020🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne