Data for 3D reconstruction and Point Cloud classification using Machine Learning in Cultural Heritage environment

Published: 21 January 2022| Version 1 | DOI: 10.17632/ydpn8xnx24.1
Contributors:
,
,
, Daniele Scaringi

Description

The dataset contains UAV images of an archaeological site for analysis and management in software based on Close Range Photogrammetry algorithms. In addition, the dataset contains the 3D point cloud and text files useful for its semantic classification.

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Institutions

  • Politecnico di Bari Dipartimento di Ingegneria Civile Ambientale del Territorio Edile e di Chimica

Categories

Data Science, Geomatics, Machine Learning, Photogrammetry

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