Data

DeepSeagrass

Commonwealth Scientific and Industrial Research Organisation
Raine, Scarlett ; Marchant, Ross ; Moghadam, Peyman ; Maire, Frederic ; Kettle, Brett ; Kusy, Brano
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/spmy-5151&rft.title=DeepSeagrass&rft.identifier=https://doi.org/10.25919/spmy-5151&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Underwater images of seagrasses in Moreton Bay, Queensland, Australia. Images are labelled by the seagrass superclass: Strap-like, Fern-like and Rounded. Additionally, a class of images without seagrass present was collected. Only images containing dense seagrass cover are included in this dataset. This dataset also includes additional images for the 5 class case, in which the background is divided into substrate and water column. Each image (4624 x 2600 pixels) has been divided into patches of 578 x 520 pixels for training.Lineage: A biologist snorkelled in approximately 1m of water and used a Sony Action Cam FDR-3000X from 0.5m above the seafloor to take oblique images at an angle of 45 degrees. &rft.creator=Raine, Scarlett &rft.creator=Marchant, Ross &rft.creator=Moghadam, Peyman &rft.creator=Maire, Frederic &rft.creator=Kettle, Brett &rft.creator=Kusy, Brano &rft.date=2020&rft.edition=v1&rft.coverage=westlimit=152.32999999999998; southlimit=27.125; eastlimit=153.42; northlimit=27.473888888888887; projection=WGS84&rft_rights=Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International Licence https://creativecommons.org/licenses/by-nc-nd/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2020.&rft_subject=seagrass&rft_subject=Moreton Bay&rft_subject=Halophila Ovalis&rft_subject=Halophila Spinulosa&rft_subject=Cymodocea Serrulata&rft_subject=multi-species&rft_subject=computer vision&rft_subject=classification&rft_subject=machine learning&rft_subject=deep learning&rft_subject=vision-based&rft_subject=manta-tow glider&rft_subject=Marine and estuarine ecology (incl. marine ichthyology)&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Artificial intelligence not elsewhere classified&rft_subject=Artificial intelligence&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Computer vision&rft_subject=Computer vision and multimedia computation&rft_subject=Machine learning not elsewhere classified&rft_subject=Machine learning&rft.type=dataset&rft.language=English Access the data
Cite Saved to MyRDA Save to MyRDA

Licence & Rights:

Non-Derivative Licence view details
CC-BY-NC-ND

Creative Commons Attribution-Noncommercial-No Derivatives 4.0 International Licence
https://creativecommons.org/licenses/by-nc-nd/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2020.

Access:

Open view details

Accessible for free

Contact Information



Full description

Underwater images of seagrasses in Moreton Bay, Queensland, Australia. Images are labelled by the seagrass superclass: Strap-like, Fern-like and Rounded. Additionally, a class of images without seagrass present was collected. Only images containing dense seagrass cover are included in this dataset. This dataset also includes additional images for the 5 class case, in which the background is divided into substrate and water column. Each image (4624 x 2600 pixels) has been divided into patches of 578 x 520 pixels for training.
Lineage: A biologist snorkelled in approximately 1m of water and used a Sony Action Cam FDR-3000X from 0.5m above the seafloor to take oblique images at an angle of 45 degrees.

Available: 2020-12-18

Data time period: 2020-02-07 to 2020-02-11

This dataset is part of a larger collection

Click to explore relationships graph
Help

Related People

Related Grants and Projects

Related Websites

153.42,27.47389 153.42,27.125 152.33,27.125 152.33,27.47389 153.42,27.47389

152.875,27.299444444445

Subjects
Artificial Intelligence | Artificial Intelligence Not Elsewhere Classified | Biological Sciences | Computer Vision | Computer Vision and Multimedia Computation | Cymodocea Serrulata | Ecology | Halophila Ovalis | Halophila Spinulosa | Information and Computing Sciences | Machine Learning | Machine Learning Not Elsewhere Classified | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | Moreton Bay | classification | computer vision | deep learning | machine learning | manta-tow glider | multi-species | seagrass | vision-based |

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857