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Dataset Card for NOAA-ESD-CORAL-Bleaching Classification Dataset v1
Overview
For the development of machine learning models to classify coral health, specifically identifying healthy hard coral (CORAL) and bleached hard coral (CORAL_BL).This dataset contains underwater imagery collected by NOAA's Ecosystem Sciences Division (ESD) and other benthic surveys.
Labels
Label | Name | Functional Group |
---|---|---|
CORAL | Healthy Hard Coral | Hard Coral |
CORAL_BL | Bleached Hard Coral | Hard Coral |
Dataset Details
Images were annotated through a combination of randomly generated points and targeted survey locations.
Dataset Structure
The dataset consists of 224x224 pixel image patches, pre-split into train, validation, and test sets. Patches are sampled across 2 rows x 5 columns stratified grids for consistent annotation coverage.
Split | Images | Description |
---|---|---|
Training | 7,292 | Used for model training. |
Validation | 1,562 | Used for model hyperparameter tuning and early stopping. |
Test | 1,565 | Used for final model evaluation. |
Dataset Sources
- Data Repository: NOAA Open Data Dissemination (NODD) PIFSC Cloud
- Imagery Collection Years: 2014–2019
- Region: Hawaiian Archipelago
Uses
Direct Use Cases
- Coral bleaching detection in marine ecosystems.
- Marine biology research and reef health assessments.
- Training machine learning models for underwater imagery analysis.
Out-of-Scope Uses
- Applications unrelated to benthic or coral reef ecosystems.
- Real-time monitoring without adequate validation or ground truth verification.
Bias, Risks, and Limitations
Bias
- Geographic Bias: Data is primarily from the Hawaiian Archipelago; performance may differ in other regions.
- Environmental Bias: Imagery collected under certain lighting and seasonal conditions.
Recommendations for Use
- Validate models on new survey data before operational use.
- Augment datasets with color variations, rotations, and noise to improve robustness.
- Account for potential false positives, especially in complex benthic environments.
Limitations
- Models may underperform on color images if trained solely on the provided dataset.
- Bleaching classification may be affected by turbid water conditions and image quality variations.
Personal and Sensitive Information
- No personal, sensitive, or identifiable information is present.
- Images are of marine environments only.
Metadata / Citation
Citation:
Pacific Islands Fisheries Science Center (2025). Ecosystem Sciences Division (ESD);
Related Metadata:
- Benthic Cover Derived from Analysis of Benthic Images (2019)
- NOAA ESD Coral Bleaching Classifier Annotations Data Dictionary
- Developing a semi-automated CoralNet Bleaching Classifier: annotations and imagery from survey sites across the Hawaiian Archipelago between 2014 and 2019
Dataset Card Contact
For questions or inquiries, contact:
Michael Akridge – [email protected]
Ecosystem Sciences Division (ESD), PIFSC | NOAA
Disclaimer
This repository is a scientific product and is not official communication of the National Oceanic and Atmospheric Administration, or the United States Department of Commerce. All NOAA project content is provided on an ‘as is’ basis and the user assumes responsibility for its use. Any claims against the Department of Commerce or Department of Commerce bureaus stemming from the use of this project will be governed by all applicable Federal law. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by the Department of Commerce. The Department of Commerce seal and logo, or the seal and logo of a DOC bureau, shall not be used in any manner to imply endorsement of any commercial product or activity by DOC or the United States Government.
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Models trained or fine-tuned on akridge/NOAA-ESD-CORAL-Bleaching-Dataset
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