Data Set (knb-lter-mcr.5006.2)

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.5006.2 (in the knb Catalog System)

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.

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 image and annotation 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, Principal Investigator) [  email ]
Associate: Moriarty, Vincent (Moorea Coral Reef LTER, Lead 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.5006.2

To request a DOI, send an email request for more information about this package's identifiers to use in a citation.

Key Words and Terms

By Thesaurus:
MCR, LTER, Moorea Coral Reef, Long-term Time Series, French Polynesia, Moorea
University of California Santa Barbara, California State University Northridge, NSF, Gordon and Betty Moore Foundation, Richard B. Gump South Pacific Research Station
Scleractinia, Scleractinian Coral, Demographics
Automated image recognition, University of California San Diego, Computer Vision Laboratory
LTER Controlled Vocabulary corals, habitats, coral reefs, communities, marine
NBII Biocomplexity Thesaurus Corals, Populations, Carbonate rocks, Coral Reefs, Lagoons, Shallow water, Marine environments, Polyps (organisms)
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

Data collected under the auspices of the MCR LTER are available to the public after primary publication, or at most two years after the completion of the study unless proprietary restrictions are warranted. Use of MCR LTER data is subject to acceptance of the following conditions:

  • 1. The user agrees to provide valid name and contact information prior to downloading online data. This information will be used to contact the user in case of changes to the data, and may also be used by data set authors and MCR LTER project administrators to document data usage.
  • 2. The user agrees to cite the data set author and MCR LTER in all publications in which the data are used, as per the instructions in the data documentation. If no specific instructions are provided in the data documentation, the user is requested to include the following statement: "Data sets were provided by the Moorea Coral Reef Ecosystem LTER, funded by the US National Science Foundation (OCE-0417412 and OCE-1026851)."
  • 3. The user agrees to provide one copy of any manuscript based on MCR LTER data to the data set author prior to submitting it for publication.
  • 4. The user agrees to send two hard copies of any published manuscript based on MCR LTER data to the following address: Dr. Andrew J. Brooks Deputy Program Director, MCR LTER Marine Science Institute University of California Santa Barbara, CA 93106-6150 The user also agrees to send one electronic copy (pdf format) to the following e-mail address:
  • 5. Users are prohibited from selling or redistributing any data provided by MCR LTER without explicit prior permission.
  • 6. Users are encouraged to contact original investigators responsible for data. Where appropriate, researchers whose projects are integrally dependent on MCR LTER data are encouraged to consider collaboration and/or co-authorship with original investigators.
  • 7. Extensive efforts are made to ensure that online data are accurate and up to date, but the authors and the MCR LTER will not take responsibility for any errors that may exist in data provided online. Furthermore, the user assumes all responsibility for errors in analysis or judgment resulting from use of the data.
  • 8. Any violation of the terms of this agreement will result in immediate forfeiture of the data and loss of access privileges to other MCR LTER data sets.

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