11 datasets found

With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training...

With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training...

With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training...

With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training...

With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training...

LidarScout: Direct Out-of-Core Rendering of Massive Point Clouds This dataset contains data related to our LidarScout paper at High-Performance Graphics 2025. This paper...

A dataset collected by iPhone X with its TrueDepth Camera for point cloud and inertia measurement unit (IMU) for device motion. For capturing ground truth trajectories, a Niryo...

Point cloud files en format LAZ obtained using a terrestrial laser scanner in the Roman circus of Tarraco (Tarragona, Catalonia, Spain). Specifically, information is presented...

Decades of photogrammetric records at Bezymianny, one of the most active volcanoes on Earth, allow unveiling morphological changes, eruption and intrusion dynamics, erosion,...

As part of a project on the development of hyperspectral scanning to support geological mapping in underground mines, we acquired hyperspectral data from three adjacent outcrops...

The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital...