Datasets & Benchmarks
USEGEO - UAV-based multi-sensor dataset for geospatial research (2023)
F. Nex, N., Zhang, F. Remondino, E.M. Farella, R. Qin, C. Zhang, 2023: BENCHMARKING THE EXTRACTION OF 3D GEOMETRY FROM UAV IMAGES WITH DEEP LEARNING METHODS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W3-2023, 123–130.
F. Nex, E.K. Stathopoulou, F. Remondino, M.Y. Yang, L. Madhuanand, Y. Yogender, B. Alsadik, M. Weinmann, B. Jutzi, R. Qin, 2024: UseGeo - A UAV-based multi-sensor dataset for geospatial research. ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol. 13, 100070
M. Hermann, M. Weinmann, F. Nex, E.K. Stathopoulou, F. Remondino, B. Jutzi, B. Ruf, 2024: Depth estimation and 3D reconstruction from UAV-borne imagery: Evaluation on the UseGeo dataset. ISPRS Open Journal of Photogrammetry and Remote Sensing, 100065.
Data available at: https://github.com/3DOM-FBK/usegeo
MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS (2023)
Beber, R., Perda, G., Takhtkeshha, N., Remondino, F., Maffei, T., Poli, D., Moe, K., Cipriano, P., and Ciliberti, M.: MULTI-MODAL GEOSPATIAL AND THEMATIC DATA TO FOSTER GREEN DEAL APPLICATIONS. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W3-2023, 9–16
Data available at: https://github.com/3DOM-FBK/USAGE_Geospatial
The InCUBE dataset for BIM2BEM research activities (2023)
O. Roman, E. M. Farella, S. Rigon, F. Remondino, S. Ricciuti, and D. Viesi, 2023: FROM 3D SURVEYING DATA TO BIM TO BEM: THE INCUBE DATASET. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W3-2023, 175–182
Data available at: https://github.com/3DOM-FBK/InCUBE
The YTU3D dataset for urban point cloud classification (2023)
O. C. Bayrak, F. Remondino, and M. Uzar, 2023: A NEW DATASET AND METHODOLOGY FOR URBAN-SCALE 3D POINT CLOUD CLASSIFICATION. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1/W3-2023, 1–8
Data available soon at: https://github.com/3DOM-FBK/YTU3D
MultI-seNsor 3D mapping with an unmanned ground vehicle for mining applications - MIN3D (2023)
P. Trybała, J. Szrek. F. Remondino, P. Kujawa, J. Wodecki, J. Blachowski, R. Zimroz, 2023: MIN3D dataset: MultI-seNsor 3D mapping with an unmanned ground vehicle. Journal of Photogrammetry, Remote Sensing and Geoinformation Science (PFG)
Data available at: https://github.com/3DOM-FBK/MIN3D
NeRFBK (2023): A holistic dataset for benchmarking NeRF-based 3D reconstruction
Remondino, F., Karami, A., Yan, Z., Mazzacca, G., Rigon, S., Qin, R., 2023: A Critical Analysis of NeRF-Based 3D Reconstruction. Remote Sensing, 15, 3585
Data available at: https://github.com/3DOM-FBK/NeRFBK
ENRICH - Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry (2023)
Marelli, D., Morelli, L., Farella, E.M., Bianco, S., Ciocca, G., Remondino, F., 2023: ENRICH: Multi-purpose dataset for benchmarking in computer vision and photogrammetry. ISPRS Journal of Photogrammetry and Remote Sensing, Vol.198, pp. 84-98
Data available at: https://github.com/davidemarelli/ENRICH
3DOM Semantic Facade (2019 - update 2022)
Stathopoulou, E.K., and Remondino, F., 2019. Semantic photogrammetry: boosting image-based 3D reconstruction with semantic labeling. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 685-690.
Data available at: https://github.com/3DOM-FBK/3DOM-Semantic-Facade
Monocular depth estimation in architectural scenarios (2021)
Welponer, M., Stathopoulou, E. K., Remondino, F., 2022: Monocular depth prediction in photogrammetric applications. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 469–476
Data available at: https://3dom.fbk.eu/projects/on-going/archdepth
TIME - Historical Aerial Images (2021)
Farella, E. M., Morelli, L., Remondino, F., Mills, J. P., Haala, N., and Crompvoets, J., 2022: The EuroSDR TIME benchmark for historical aerial images. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 1175–1182
Data available at: https://time.fbk.eu/
Classification of large-scale 3D heritage point clouds (2020)
Matrone, F., Lingua, A., Pierdicca, R., Malinverni, E. S., Paolanti, M., Grilli, E., Remondino, F., Murtiyoso, A., and Landes, T., 2020: A benchmark for large-scale heritage point cloud semantic segmentation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 1419–1426
https://www.youtube.com/watch?v=QBVb6qBpWqI
Data available at: http://archdataset.polito.it/
3DOMcity - Multi-purpose benchmark for assessing the performance of the entire image-based pipeline for 3D urban reconstruction and 3D data classification (2019)
E. Özdemir, I. Toschi, and F. Remondino, 2019: A Multi-purpose benchmark for photogrammetric urban 3D reconstriction in a controlled environment. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XLII-1/W2, pp. 53–60
Fisheye Indoor Narrow spaces Evaluation - FINE benchmark (2019)
Collaborative 3D reconstruction with smartphones (2017)
Nocerino, E., Poiesi, F., Locher, al, Y.T. Tefera, Remondino, F., Chippendale, P., Van Gool, L., 2017: 3D reconstruction with a collaborative approach based on smartphones and a cloud-based server. ISPRS Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XLII-2/W8, pp. 187-194
Poiesi, F., Locher, A., Chippendale, P., Nocerino, E., Remondino, F., Van Gool, L., 2017: Cloud-based collaborative 3D reconstruction using smartphones. Proc. of ACM European Conference on Visual Media Production (CVMP), London, UK
Download the datasets: 4 locations simultaneously photographed with various smartphones to perform collaborative 3D reconstructions (9GB)
Multi-platform photogrammetry (2015)
Nex, F., Gerke, M., Remondino, F., Przybilla, H.-J., Bäumker, M., Zurhorst, A., 2015: ISPRS benchmark for multi-platform photogrammetry. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-3/W4, pp. 135-142
https://www2.isprs.org/commissions/comm1/icwg-1-2/benchmark_main/
