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.
| 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 |
