Data Set (knb-lter-mcr.5006.3)

MCR LTER: Coral Reef: Computer Vision: Moorea Labeled Corals

  Summary and Data Links People and Organizations Temporal, Geographic and Taxonomic Coverage Methods and Protocols  
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

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
For more information:
Time Period:
Detailed Data Description and Download:
An example image annotation file: for each of 200 randomly placed spots on the digital image, the image pixel row and column at the center of that spot, and the label of the identified coral or substrate.
Package of images for coral recognition from 2008
The package contains 671 full resolution image and annotation file pairs from year 2008.
Package of images for coral recognition from 2009
The package contains 695 full resolution JPEG image and 695 annotation text file pairs from year 2009.
Package of images for coral recognition from 2010
The package contains 689 full resolution image and annotation file pairs from year 2010.
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
French Polynesia, Moorea
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 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.

Additional Metadata

View the original XML file (in Ecological Metadata Language) Viewable in Oxygen XML Editor