Garrulus Field-D Semantic Segmentation Dataset

The Garrulus Field-D dataset represents a 0.3-hectare post-harvest area located in the Arnsberg Forest, Germany. Data was acquired using an Unmanned Aerial Vehicle (UAV), and the area was reconstructed into a geo-referenced RGB orthomosaic with a spatial resolution of approximately 10 cm per pixel.

Metadaten
Document Type:	Dataset
Language:	English
Author:	Mohammad Wasil, Ahmad Drak, Brennan Penfold, Ludovico Scarton, Maximilian Johenneken, Alexander Asteroth, Sebastian Houben
DOI:	https://doi.org/10.5281/zenodo.15480885
DOI:	https://doi.org/10.5281/zenodo.15480886
Publisher:	Zenodo
Date of first publication:	2025/05/21
Note:	If you use this dataset in your work, please cite our paper: Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery ICRA 2025, and available on arXiv: https://arxiv.org/abs/2505.08932
Departments, institutes and facilities:	Fachbereich Informatik
	Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE)
	Institut für KI und Autonome Systeme (A2S)
Projects:	Garrulus
Dewey Decimal Classification (DDC):	0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 006 Spezielle Computerverfahren
Entry in this database:	2025/05/30
Licence (German):	Creative Commons - CC BY - Namensnennung 4.0 International

Open Access