| Data Set General Information: |
|---|
| Identifier: |
knb-lter-mcr.5006.3 (in the knb Catalog System) |
| Alternate Identifier: |
10.6073/pasta/88dde0e68ab5232a470389f4bedd1892 |
| Alternate Identifier: |
knb-lter-mcr.5006 |
| Abstract: |
The Moorea Labeled Corals dataset is a subset of the MCR LTER packaged for computer vision research.
It contains 2055 images from three habitats IDs: fringing reef outer 10m and outer 17m, from 2008, 2009 and
2010. It also contains random point annotation (row, col,
label) for the nine most abundant labels, four non coral
labels: (1) Crustose Coralline Algae (CCA), (2) Turf algae, (3) Macroalgae and (4) Sand, and five coral genera:
(5) Acropora, (6) Pavona, (7) Montipora, (8) Pocillopora,
and (9) Porites. These nine classes account for 96% of
the annotations and total to almost 400,000 points.
These nine classes are the ones analyzed in (Beijbom, 2012);
less-abundant genera not treated in the automation are also present in the dataset.
These data were published in
Beijbom O., Edmunds P.J., Kline D.I., Mitchell G.B., Kriegman D., 'Automated Annotation of Coral Reef Survey Images',
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, 2012.
[BibTex]
[pdf]
These data are a subset of the raw data from which knb-lter-mcr.4 is derived.
This material is based upon work supported by the U.S. National Science Foundation under
Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and
Betty Moore Foundation. Research was completed under permits issued by the French Polynesian
Government (Délégation à la Recherche) and the Haut-commissariat de la République en
Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2018). This work represents a
contribution of the Moorea Coral Reef (MCR) LTER Site.
|
| Short Name: |
Moorea Labeled Corals |
|
Publication Date: |
2012-05-21 |
|
Language: |
english |
|
|
| People and Organizations: |
|---|
| View complete information for all parties
|
| Contact: |
Information Manager (Moorea Coral Reef LTER) [
email ]
|
| Organization |
Moorea Coral Reef LTER |
| Owner: |
Edmunds, Peter (Moorea Coral Reef LTER) [
email ]
|
| Associate: |
Moriarty, Vincent (Moorea Coral Reef LTER, Field Technician) |
| Associate: |
Beijbom, Oscar (UCSD Computer Vision Laboratory, Graduate Student) |
|
Data Set Citation
| How to cite this dataset: |
Edmunds, P
of
Moorea Coral Reef LTER.
2012.
MCR LTER: Coral Reef: Computer Vision: Moorea Labeled Corals.
knb-lter-mcr.5006.3 doi:10.6073/pasta/88dde0e68ab5232a470389f4bedd1892 |
Key Words and Terms
| By Thesaurus: |
|---|
|
Automated image recognition, Computer Vision Laboratory, Demographics, Long-term Time Series, LTER, MCR, Moorea Coral Reef, Scleractinian Coral |
| Institute, Organization, or Funding Agency |
California State University Northridge, Gordon and Betty Moore Foundation, NSF, Richard B. Gump South Pacific Research Station, University of California San Diego, University of California Santa Barbara |
| NBII Biocomplexity Thesaurus |
Carbonate rocks, Coral Reefs, Corals, Lagoons, Marine environments, Polyps (organisms), Populations, Shallow water |
| LTER Network Controlled Vocabulary |
communities, coral reefs, corals, habitats, marine |
| LTER Core Research Area |
Populations |
| MCR Core Activity |
Time Series Program |
| MCR Research Theme |
Ocean Acidification, Reef Resistance and Resilience |
| MCR-LTER Working Group |
Population and Community Dynamics |
|
Data Set Usage Rights
|
This data package is released under the Creative Commons license
Attribution 4.0 International (CC BY 4.0 , see
https://creativecommons.org/licenses/by/4.0/).
This license states that consumers ("Data Users" herein) may
distribute, adapt, reuse, remix, and build upon this work, as long as
they give appropriate credit, provide a link to the license, and
indicate if changes were made. If redistributed, a Data User may not
apply additional restrictions or technological measures that prevent
access.
The Data User has an ethical obligation to cite the data source
appropriately in any publication or product that results from its use,
and notify the data contact or creator. Communication, collaboration,
or co-authorship (as appropriate) with the creators of this data
package is encouraged to prevent duplicate research or publication.
The Data User is urged to contact the authors of these data if any
questions about methodology or results occur. The Data User should
realize that these data may be actively used by others for ongoing
research and that coordination may be necessary to prevent duplication
or inappropriate use. The Data User should realize that
misinterpretation may occur if data are used outside of the context of
the original study. The Data User should be aware that data are
updated periodically and it is the responsibility of the Data User to
check for new versions of the data.
While substantial efforts are made to ensure the accuracy of data and
associated documentation, complete accuracy of data sets cannot be
guaranteed. This data package (with its components) is made available
"as is" and with no warranty of accuracy or fitness for use. The
creators of this data package and the repository where these data were
obtained shall not be liable for any damages resulting from
misinterpretation, use or misuse of the data package or its
components.
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