Published May 7, 2024 | Version v1

Dataset from "A user-friendly method to get automated pollen analysis from environmental samples". New Phytologist.

  • 1. Institut des Sciences de l'Évolution de Montpellier (ISEM), Univ Montpellier, CNRS, IRD

Description

Dataset used in publication "A user-friendly method to get automated pollen analysis from environmental samples". New Phytologist.


This repository contains images from annual pollen trap samples mounted on slides and scanned under light microscopy; image annotation metadata; and the weights of the trained models from the YOLOv5 algorithm, saved after the last training epoch.

More details can be found in the README file.

Files

ANNOTATIONS.zip

Files (6.1 GB)

Name Size
md5:566814283262d9d84399080383e4167f
4.3 MB Preview Download
md5:7a7212b6da90bc7186d8dd051a273c7d
5.6 GB Preview Download
md5:b8b06e5993c8ce8603e09a2b44188a7b
3.4 kB Preview Download
md5:55228ce8275ea8d0a78e24ad58d788a6
459.9 MB Preview Download

Additional details

Related works

Is metadata for
Journal article: 10.1111/nph.19857 (DOI)

Funding

Observatoire de Recherche Montpelliérain de l'Environnement OREME
SO POLLIMED and SO POLLUMINE Service d'Observation
Centre National de la Recherche Scientifique
PEPS-CNRS DETECT to Céline Devaux PEPS-CNRS DETECT
Université de Montpellier
MUSE-UM to Odile Peyron and Céline Devaux MUSE-UM
Then Try This
HPC resources from GENCI-IDRIS Grant no.: 2023-(AD011013554R1)

Dates

Other
2024-05-07