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.

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추가 정보

필드 값
저자 João Dionísio
최종 업데이트 5월 27, 2024, 12:48 (UTC)
생성됨 3월 28, 2023, 13:33 (UTC)
Citation Dionísio, J., Pereira, P., Nuno Leite, P., & Pinto, A. (2023). NEREON [Data set]. INESC TEC. https://doi.org/10.25747/CR2F-NZ60
Contributor Pedro Pereira, Pedro Nuno Leite, Andry Pinto
Creation Date 2023-07-27
DOI https://doi.org/10.25747/cr2f-nz60
파일 크기 10.5 GB
포맷 *.png, *.tiff, *.xml *,txt
Instrument Name MARESye
언어 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
타입 Underwater images (.png) and projected depth point clouds (.tiff)
Type of Instrument Visual Cameras