Published September 28, 2026 | Version 0.0.0

FOR-wood đŸȘ”

Description

📌 Overview

The FOR-wood dataset was compiled within the SingleTree project and is aimed at developing methods to predict external wood quality properties from individual tree point clouds. The dataset accompanies the FOR-wood data science competition hosted on codabench.

 

🌍 Dataset Description

The data included in the zipped folder contains training data for 189 tree point clouds (.laz) with their respective whorl positions and stem taper measurements (.csv). 

This dataset is a collection from different sources, listed here:

  • ULS data from Norway (NIBIO, Stefano Puliti, Nicolas Cattaneo, Carolin Fischer, Rasmus Astrup) 
  • TLS data Finland (University of Helsinki, Jiri Pyörälä)
  • TLS Sweden (Swedish University of Agricultural Sciences, Henrik Persson, Petter Ideström, Raul De Paula Pires, Ritwika Mukhopadhyay, Kenneth Olofsson)

 

🔒 Benchmarking & Evaluation

The test set labels are not publicly available.

To benchmark models:

👉 Submit predictions to the official FOR-wood data science competition.

 

đŸ€ Acknowledgements

This dataset was developed within:

  • SingleTree (EU CBE JU project, grant no. 101157488)

Funded by the European Union. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or CBE JU. Neither the European Union nor the CBE JU can be held responsible for them.  Grant agreement N. º 101157488.

Files

ST_WhorlDetection_StemEstimation.zip

Files (959.6 MB)

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Additional details

Funding

European Commission
SingleTree - Optimizing multifunctional forest-based value chains with single tree information and application of digital technologies 101157488