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- Benchmark datasets
- Collection of 350+ free datasets for photogrammetry and 3d modelling
- Drone Mapper
- The ISPRS dataset collection
- OpenHeritage datasets
- EPFL images and depth maps
- Wingtra UAV datasets
- Capturing reality
- Trimble Geospatial datasets
- Agisoft sample datasets
- UAV/RGB data
- Open Drone Map datasets
- UNAVCO TLS datasets
- UNAVCO SFM datasets
- Reconstruction Dataset
- UseGeo - UAV-based multi-sensor dataset for geospatial research
- a large-scale real-world set of data suitable for multiple tasks, such as monocular depth estimation, multi-view 3D reconstruction (MVS), etc.
- LiSurveying: A high-resolution TLS-LiDAR benchmark
- The first large-scale hybrid (point-wise and 3D bounding box) TLS-LiDAR dataset for LS.
- LiSurveying provides 360 degrees of sensor coverage in multiple locations of the scene, where multiple scans are integrated to obtain a massive point-cloud representation.
- LiSurveying provides rich data for research on object classification, semantic segmentation, and object detection for complex outdoor scenes.
- An open-source photogrammetry workflow for reconstructing 3D models
- KITTI
- a pioneer multimodal dataset that includes point-clouds from a LiDAR sensor as well as front-facing stereo images and GPS/IMU data. This dataset with 8 classes is useful for AV applications using MLS point-clouds and front-facing stereo images. This dataset contains about 15k point-cloud frames with 200k 3D bounding boxes on 22 different scenes.
- Paris-Lille-3D
- Toronto-3D
- Landslide4Sense
- Reference Benchmark Data and Deep Learning Models for Landslide Detection