TRACEABILITY OF OAK (QUERCUS PETREAE (MATT.) LIEBL. AND Q. ROBUR L.) LOGS: THE BIOMTRACE DATABASE
Key message
The Biomtrace database contains 33,390 RGB images of the butt end cross-section of 5135 French oak logs. Each log was photographed several times with different camera orientations during an initial shooting session. For more than half of the logs, additional photos were taken at least 3 weeks after the first photo session. Cross-sections were segmented on all the images using the PointRend convolutional neural network. Spatial calibration was carried out by a specific algorithm using a checkerboard pattern present in each image. This image database was created with the aim of developing algorithms for the biometric traceability of logs, involving artificial intelligence approaches that require large databases. But other applications are also possible, such as the automatic extraction of information on the size and quality of logs. The Biomtrace database is available at https://doi.org/10.57745/9DBCL4, and associated metadata are available at https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/feda0a0e-041a-4190-9a73-5159b10ff0f0.
Keywords
Image analysis; RGB images; Oak; Segmentation; Biometric traceability; Tree log identification
Publication
Longuetaud, F., Mothe, F., Martinetto, D. et al. Traceability of oak (Quercus petraea (Matt.) Liebl. and Quercus robur L.) logs: the Biomtrace database. Annals of Forest Science 82, 5 (2025). https://doi.org/10.1186/s13595-025-01276-9
Data availability
The images and the database are available at Research Data Gouv repository: https://doi.org/10.57745/9DBCL4. The licence of the database is Etalab Open License 2.0 compatible CC-BY 2.0. The metadata for the database are available at: https://metadata-afs.nancy.inra.fr/geonetwork/srv/fre/catalog.search#/metadata/feda0a0e-041a-4190-9a73-5159b10ff0f0.
Handling editor
Irène Gabriel
Topical collection
This article is part of the Topical Collection “ARBRE: Documenting rapid changes occurring in forest socio-ecosystems” https://link-springer-com.inrae.idm.oclc.org/collections/bbbfeidfbc