Published February 4, 2026
| Version v1
Dataset
Open
HFinder training dataset
Authors/Creators
-
Korovesis, Stavros
(Project manager)1
-
Wang, Shumei
(Data collector)2, 3
- Xu, Lin (Data collector)3
- Giraudon, Inès (Data collector)1
- Rosales Hernandez, Daniela (Data collector)1
- Panek, Enora (Data collector)1
-
Boeglin, Laure
(Annotator)1
-
Kostareli, Maria-Myrto
(Annotator)1, 4
-
Pluis, Max Hendry Jean
(Annotator)1, 4
-
Wang, Baoyu
(Annotator)5, 4
-
Wang, Yuan
(Annotator)5, 4
-
Abdennour, Djenatte
(Annotator)1
-
Keller, Harald
(Researcher)1
-
Birch, Paul
(Researcher)3
-
Schornack, Sebastian
(Researcher)6
-
Evangelisti, Edouard
(Contact person)1, 4
-
1.
Institut Sophia Agrobiotech
- 2. University of Riverside
-
3.
University of Dundee
-
4.
Université Côte d'Azur
-
5.
Beijing Academy of Agricultural and Forestry Sciences
-
6.
University of Cambridge
Description
This dataset contains curated microscopy images and annotations used for training and fine-tuning HFinder, a deep-learning-based tool for detecting and classifying hyphal and infection-related structures in plant-oomycete interactions. It includes annotated images from multiple host-pathogen systems and experimental conditions, and is intended to support reproducible training, benchmarking, and reuse of machine-learning models for plant pathology image analysis.
Files
README.md
Files
(1.0 GB)
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Additional details
Related works
- Is part of
- Software: https://github.com/EEvangelisti/hfinder (URL)
Software
- Repository URL
- https://github.com/EEvangelisti/hfinder
- Programming language
- Python
- Development Status
- Active