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Título: | UruDendro, a public dataset of 64 cross-section images and manual annual ring delineations of Pinus taeda L. |
Autor: | Marichal, Henry Passarella, Diego Lucas, Christine Profumo, Ludmila Casaravilla, Verónica Rocha Galli, María Noel Ambite, Serrana Randall, Gregory |
Tipo: | Artículo |
Palabras clave: | Image processing, Tree ring area, Tree ring width, Wood cross sections, Dendrometry, Automatic measurement |
Fecha de publicación: | 2025 |
Resumen: | The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learning and imagery technology, as well as increasing demands from the dendrochronology community. This paper presents a publicly available dataset of 64 annotated images of transverse sections of commercially grown Pinus taeda L. trees from northern Uruguay, presenting 17 to 24 annual rings. The collection contains several challenging features for automatic ring detection, including illumination and surface preparation variation, fungal infection (blue stains), knot formation, missing bark or interruptions in outer rings, and radial cracking. This dataset can be used to develop and test automatic tree ring detection algorithms. The dataset presented here was used to develop the Cross-Section Tree-Ring Detection (CS-TRD) method, an open-source automated ring-detection algorithm for cross-sectioned images. Dataset access at https:// doi. org/ 10. 5281/ zenodo. 15110 647. Access to the metadata describing the data set : https:// metad ata- afs. nancy. inra. fr/ geone twork/ srv/ fre/ catal og. searc h#/ metad ata/ 5fdbd 411- 9ae1- 4ce6- 8ef0- cdfa2 fbd7a 6a. |
Descripción: | Marichal, H., Verónica, C., Karolain, M., Alquimila, P., Christine, L.,
Diego, P., & Randall, G. (2025). UruDendro3a, a public dataset of 9
cross-section images and manual annual ring delineations of Gleditsia
triachantos L. [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15652668 Marichal, H., Verónica, C., Ludmila, P., Christine, L., Diego, P., & Gregory, R. (2025). UruDendro2, a public dataset of 53 cross-section images and manual annual ring delineations of Pinus taeda L. [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15652452 Marichal, H., Passarella, D., Lucas, C., Casaravilla, V., Rocha Galli, M. N., Serrana, A., Profumo, L., & Randall, G. (2023). UruDendro, a public dataset of 64 cross-section images and manual annual ring delineations of Pinus taeda L. Zenodo. https://doi.org/10.5281/zenodo.15110647 Marichal, H., Blanco, J., Passarella, D., & Randall, G. (2025). UruDendro4, a public dataset of 102 cross-section images and manual annual ring delineations of Pinus taeda L. [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15653340 |
Enlace: | https://annforsci.biomedcentral.com/articles/10.1186/s13595-025-01296-5 |
Editorial: | Springer |
EN: | Annals of Forest Science, vol. 82, no artículo 25, jul. 2025, pp. 1-12. |
Financiadores: | Proyecto ANII-FMV-176061: UruDendro 2.0: Aplicación de técnicas de procesamiento de imágenes e inteligencia artificial para la dendrometría automática de especies de madera nativas y comerciales. Projecto ANII ART_X_2021_1_170389 : Detección temprana de madera de compresión en pino para una mayor eficiencia industrial. |
Citación: | Marichal, H., Passarella, D., Lucas, C. y otros. "UruDendro, a public dataset of 64 cross-section images and manual annual ring delineations of Pinus taeda L". Annals of Forest Science. [en línea]. 2025, vol. 82, 25, pp. 1-12. DOI: 10.1186/s13595-025-01296-5. |
ISSN: | 1297-966X |
Cobertura geográfica: | Uruguay |
Departamento académico: | Procesamiento de Señales |
Grupo de investigación: | Tratamiento de Imagenes |
Licencia: | Licencia Creative Commons Atribución (CC - By 4.0) |
Aparece en las colecciones: | Publicaciones académicas y científicas - Instituto de Ingeniería Eléctrica |
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MPLPCRAR25.pdf | Versión publicada | 3,19 MB | Adobe PDF | Visualizar/Abrir |
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