NEREON (uNderwater dataset for monoculaR dEpth estimatiON)

In the context of the ATLANTIS project, the NEREON dataset (uNderwater datasEt for monoculaR dEpth estimatiON) was created to provide information for training Deep Learning Networks which aimed at estimating depth from single images in underwater environments. The dataset was acquired at the ATLANTIS Test Centre in Viana do Castelo, around the DURIUS buoy, designed for testing robotic solutions for O&M. The collection process resulted in close to 7000 images and point clouds (which were projected to match the resolution of the images), that depict the DURIUS structure as well as the its surrounding underwater environment.

Data and Resources

Additional Info

Field Value
Author João Dionísio
Last Updated March 30, 2023, 15:36 (UTC)
Created March 28, 2023, 13:33 (UTC)
Citation Dionísio, J., Pereira, P., Nuno Leite, P., & Pinto, A. (2023). NEREON [Data set]. INESC TEC.
Contributor Pedro Pereira, Pedro Nuno Leite, Andry Pinto
Creation Date 2023-07-27
File Size 10.5 GB
Format *.png, *.tiff, *.xml *,txt
Instrument Name MARESye
Language EN
Relation NEREON – An Underwater Dataset for Monocular Depth Estimation
Spatial Coverage ATLANTIS Test Centre, Viana do Castelo, Portugal
Temporal Coverage 20th to 23th of September of 2022
Type Underwater images (.png) and projected depth point clouds (.tiff)
Type of Instrument Visual Cameras