Results of CNN-based pollen analysis
Authors/Creators
- 1. Lund University
Description
Several datasets representing cross-validation of convoluted neural network (CNN) classification of pollen images. In each data file, one variable represents the pollen species (or pollen type when pollen are not identified to species level, but to a group of morphologically similar species represented by a type), and one the model predicted species. The remaining variables are the model likelihoods of the individual pollen grain belonging to a particular species. The maximum of these likelihoods will identify the predicted species. Each row in the datasets represent one pollen grain. An R-script to reproduce results in the paper is included.
Notes
Funding provided by: Crafoordska Stiftelsen
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100003173
Award Number: 20170867
Funding provided by: Svenska Forskningsrådet Formas
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001862
Award Number: 215-2014-1603
Files
Pollen_CNN_data.zip
Files
(301.8 MB)
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