SynPhoRest - synthetic photorealistic forest dataset with depth information for machine learning model training

Nunes, R., Ferreira, J. ORCID: 0000-0002-2510-2412 and Peixoto, P., 2022. SynPhoRest - synthetic photorealistic forest dataset with depth information for machine learning model training. [Dataset]

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Abstract

SynPhoRest is a synthetic dataset collected on virtual forests. It features RGB images, semantic segmentation maps, depth maps and the projection of LIDAR point clouds on the RGB FOV for two different LIDAR scanning patterns. The dataset has a total of 3154 frames.

Item Type:	Research datasets and databases
Creators:	Nunes, R., Ferreira, J. and Peixoto, P.
Publisher:	Zenodo
Date:	20 March 2022
Identifiers:	Number Type 10.5281/zenodo.6369445 DOI 1551492 Other
Rights:	Creative Commons Attribution 4.0 International Public License
Divisions:	Schools > School of Science and Technology
Record created by:	Jonathan Gallacher
Date Added:	07 Jun 2022 08:54
Last Modified:	07 Jun 2022 08:54
URI:	https://irep.ntu.ac.uk/id/eprint/46409

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