Update README.md

README.md

@@ -4,10 +4,12 @@ task_categories:
 tags:
 - coral
 - bleaching
-- coral reef
+- coral-reef
 - underwater-imagery
 - marine-biology
-pretty_name: NOAA-ESD-CORAL-Bleaching-Dataset
+- benthic-surveys
+- NOAA
+pretty_name: NOAA-ESD-CORAL-Bleaching-Dataset v1
 language:
 - en
 configs:
@@ -28,70 +30,98 @@ configs:
     - CORAL_BL/*.jpg
 ---
 # Dataset Card for NOAA-ESD-CORAL-Bleaching-Dataset
-This dataset contains underwater imagery collected by NOAA's ESD-ARP. 
 
-The dataset is intended for training and evaluating models.
+## Overview
 
-|Label| Name |Functional Group|
-|-|-|-|
-|CORAL | CORAL | Hard Coral |
-|CORAL_BL | Bleached Hard Coral | Hard Coral |
-
-
-## Metadata
-- https://www.fisheries.noaa.gov/inport/item/67962
-- https://www.fisheries.noaa.gov/inport/item/68138
+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
 
 ### Dataset Description
 
-- **Curated by:** Ecosystem Sciences Division(ESD) | Pacific Islands Fisheries Science Center (PIFSC) 
-- **Shared by:** NOAA Open Data
-- **License:** Public Domain (NOAA Open Data)
+- **Curated by:** Ecosystem Sciences Division (ESD) | Pacific Islands Fisheries Science Center (PIFSC)  
+- **Shared by:** NOAA Open Data  
+- **License:** Public Domain ([NOAA Open Data](https://data.noaa.gov/))  
+- **Image Size:** 224 x 224 pixels (patch-based)  
+- **Total Images:** 10,419  
+- **Splits:**  
+  - Training: 7,292 images (70%)  
+  - Validation: 1,562 images (15%)  
+  - Test: 1,565 images (15%)  
 
-### Dataset Sources
+Images were annotated through a combination of **randomly generated points** and **targeted survey locations**.
 
-- **Data Repository:** [NOAA Open Data Dissemination (NODD) PIFSC Cloud ](https://console.cloud.google.com/storage/browser/nmfs_odp_pifsc/PIFSC)
-
-## Uses
+## Dataset Structure
 
-### Direct Use
+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.
 
-Intended to be used in marine biology research, real-time monitoring, and post-processing of underwater footage.
+| 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.   |
 
-### Out-of-Scope Use
+## Dataset Sources
 
-The dataset is not suitable for tasks unrelated to coral reef in marine ecosystems. 
+- **Data Repository:** [NOAA Open Data Dissemination (NODD) PIFSC Cloud](https://console.cloud.google.com/storage/browser/nmfs_odp_pifsc/PIFSC)  
+- **Imagery Collection Years:** 2014–2019  
+- **Region:** Hawaiian Archipelago  
 
-## Dataset Structure
-Patch based (224x244 ) dataset. 
-Dataset is pre-split using standard (70% training, 15% validation, and 15% test)
-image size: 224x244 
-train images: 7292
-val images: 1562
-test images: 1565
+---
 
+## Uses
 
-#### Personal and Sensitive Information
+### Direct Use Cases
+- Coral bleaching detection in marine ecosystems.  
+- Marine biology research and reef health assessments.  
+- Training machine learning models for underwater imagery analysis.  
 
-This dataset contains no personal or sensitive information, as it consists solely of underwater imagery.
+### 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.  
 
-### Recommendations
-- 
+### 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
 
-Ecosystem Sciences Division(ESD); Pacific Islands Fisheries Science Center (2025):  Developing a semi-automated CoralNet Bleaching Classifier: annotations and imagery from survey sites across the Hawaiian Archipelago between 2014 and 2019. https://www.fisheries.noaa.gov/inport/item/67962
+**Citation:**  
+Ecosystem Sciences Division (ESD); Pacific Islands Fisheries Science Center (2025).  
 
-#### 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.
+**Related Metadata:**  
+- [Benthic Cover Derived from Analysis of Benthic Images (2019)](https://www.fisheries.noaa.gov/inport/item/59195)  
+- [Hawaiian Archipelago Coral Surveys (2014–2019)](https://www.fisheries.noaa.gov/inport/item/67962)  
+- [Benthic Monitoring Imagery](https://www.fisheries.noaa.gov/inport/item/68138)  
 
 ## Dataset Card Contact
 
-For questions or more information, please contact: Michael Akridge (Michael.Akridge@noaa.gov)
+For questions or inquiries, contact:  
+**Michael Akridge** – Michael.Akridge@noaa.gov  
+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.