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pine_1002_1
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pine_1002_10
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222,737
pine_1002_11
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pine_1002_12
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202,715
pine_1002_13
scots_pine
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230,897
pine_1002_2
scots_pine
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189,484
pine_1002_20
scots_pine
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203,379
pine_1002_21
scots_pine
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212,112
pine_1002_28
scots_pine
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309,117
pine_1002_3
scots_pine
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348,383
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Living Dead Crown Tls Segmentation

Terrestrial laser scanning point clouds of 100 Norway spruce and 100 Scots pine trees from southern Finland, manually annotated point by point into dead crown, living crown, stem, ground and other trees. They were the training data for a deep learning model that segments living and dead crown parts and locates the crown boundary. Each row is one tree's point cloud with its per-point class labels. The dataset contains 200 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

Citation

@article{pehkonen2026segmentation,
  title={Segmentation of living and dead tree crowns using terrestrial laser scanning and deep learning},
  author={Pehkonen, Mika and Vastaranta, Mikko and Hyyppä, Juha and Pyörälä, Jiri},
  journal={Ecological Informatics},
  volume={95},
  pages={103750},
  year={2026},
  publisher={Elsevier}
}

The dataset itself can be cited as:

Pehkonen, M., Vastaranta, M., Hyyppä, J., & Pyörälä, J. (2026). Segmentation of Living and Dead Tree Crowns Using Terrestrial Laser Scanning and Deep Learning -dataset. Zenodo. https://doi.org/10.5281/ZENODO.19328265

This dataset was reformatted from its original format to match HuggingFace standards.

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