TY  - COMP
AU  - Shaukat, Muhammad Salman
PY  - 2026
DA  - 2026//
TI  - Synthetic MBES Dataset for Underwater 3D Object Detection: [research data]
CY  - No place, unknown, or undetermined; Rostock
AB  - This dataset contains 100 synthetically generated multi-beam echosounder (MBES) 3D point clouds for the development and evaluation of underwater 3D object detection methods. The simulated environments were inspired by the artificial reef at the Digital Ocean Lab (DOL) near Nienhagen, Germany, and consist of procedurally generated seabeds populated with four types of artificial reef structures: small tetrapods, large tetrapods, reef cones, and concrete rings. The dataset contains a total of 5,491 annotated object instances. Each point cloud is accompanied by ground-truth 3D bounding-box annotations specifying the object class, dimensions, position, and orientation. The dataset was generated using a physics-based simulation pipeline and is intended to support research on 3D object detection from sonar point clouds, particularly in scenarios where annotated real-world sonar data are scarce.
UR  - http://purl.uni-rostock.de/rosdok/id00005050
UR  - https://doi.org/10.18453/rosdok_id00005050
DO  - 10.18453/rosdok_id00005050
LA  - English
N1  - M. Salman Shaukat
ID  - 1982579714
ER  -