Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"

DOI

This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"

Identifier
DOI https://doi.org/10.17617/3.MCK0KK
Metadata Access https://edmond.mpg.de/api/datasets/export?exporter=dataverse_json&persistentId=doi:10.17617/3.MCK0KK
Provenance
Creator Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom
Publisher Edmond
Publication Year 2023
OpenAccess true
Contact grotec(at)evolbio.mpg.de
Representation
Language English
Resource Type Dataset
Version 1
Discipline Other