Update README.md

README.md

@@ -96,10 +96,13 @@ While this dataset can effectively train fish detection models for grayscale foo
 - **Training Data**: 80% training and 20% validation split, using grayscale underwater images from this dataset.
 - **Training Parameters**: 50 epochs, 0.001 learning rate, 416x416 image size.
 
-## Citation
+## Metadata / Citation
 
 Pacific Islands Fisheries Science Center, 2024: Bottomfish Fishery-Independent Survey in Hawaii (BFISH) - Experimental Camera Surveys (2011-2015), https://www.fisheries.noaa.gov/inport/item/55928.
 
+#### 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.
+
 ## Dataset Card Contact
 
 For questions or more information, please contact: Michael Akridge ([email protected])