FOR-species20K datasetLink copied to clipboard!
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- Description:
- Description Data for benchmarking tree species classification from proximally-sensed laser scanning data. Data split and usage The data is split into: Development data (dev): these includes 90% of the trees in the dataset and consists of individual tree point clouds (*.laz) named according to the treeID column available in the tree_metadata_dev.csv file, from which tree_species labels are available. These data are meant to be used for model development and can thus be further split into training and validation datasets. Test data (test): these are 10% of the trees (balanced sample) and include individual tree point clouds (*.laz) but, for benchmarking purposes, the species labels are witheld for benchmarking purposes. Thus to make use of the test data the users should predict species on the test trees, and output a table (.csv file) with a row per predicted tree and two columns (treeID and predicted_species). This table can then be used to create a new submission in the FOR-species20K Codabench benchmarking platform and obtain the evaluation metrics corresponding to the test data. Cite Any scientific publication using the data should cite the following paper: Puliti, S., Lines, E., Müllerová, J., Frey, J., Schindler, Z., Straker, A., Allen, M.J., Winiwarter, L., Rehush, N., Hristova, H., Murray, B., Calders, K., Terryn, L., Coops, N., Höfle, B., Krůček, M., Krokm, G., Král, K., Luck, L., Levick, S.R., Missarov, A., Mokroš, M., Owen, H., Stereńczak, K., Pitkänen, T.P., Puletti, N., Saarinen, N., Hopkinson, C., Torresan, C., Tomelleri, E., Weiser, H., Junttila, S., and Astrup, R. (2024) Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset. ArXiv; available here
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- Auteur(s) :
- Puliti, Stefano, Lines, Emily, Müllerová, Jana, Frey, Julian, Schindler, Zoe, Straker, Adrian, Allen, Matthew J., Lukas, WiniwarterUniversity of Cambridge, Rehush, Nataliia, Hristova, Hristina, Murray, BrentSwiss Federal Institute for Forest, Snow and Landscape Research, Calders, Kim, Terryn, Louise, Coops, Nicholas C., Höfle, Bernhard, Junttila, Samuli, Krucek, Martin, Krok, GrzegorzSilva Tarouca Research Institute for Landscape and Ornamental Gardening, Král, Kamil, Levick, Shaun R.Silva Tarouca Research Institute for Landscape and Ornamental Gardening, Luck, Linda, Missarov, Azim, Mokroš, MartinSilva Tarouca Research Institute for Landscape and Ornamental Gardening, Owen, Harry, Stereńczak, Krzysztof, Pitkänen, Timo, Puletti, Nicola, Saarinen, Ninni, Hopkinson, Christopher D., Torresan, Chiara, Tomelleri, Enrico, Weiser, Hannahet Astrup, Rasmus
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- Dépôt source:
- Zenodo
- Éditeur(s):
- Zenodo
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- License:
- Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode
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- URL:
- https://zenodo.org/doi/10.5281/zenodo.13255197
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- Date de publication:
- 2024-08-07
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- Identificateur:
- https://doi.org/10.5281/zenodo.13255197
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Référence bibliographique
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- Citation selon les normes APA:
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FOR-species20K dataset. (2024). [Data set]. Zenodo. https://zenodo.org/doi/10.5281/zenodo.13255197Référence copiée dans le presse-papier
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