Datasets & Benchmarks
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
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
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/
