Roboflow Universe kates AI project Coral Bleaching Classification

Coral Bleaching Classification Computer Vision Project

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The purpose of this model is to determine whether a Galaxea fascicularis coral is bleached or not. The images in this dataset were captured with an Olympus 100 camera within a lightbox. The specific use case for this model is coral scientists, or aquarists, and others who are looking to assess the health of Galaxea corals. The model includes five classes that had domains of RGB colors. The classes included severely bleached, bleached, mild bleaching, relatively unbleached, and healthy in respect to the coloration of the corals. This model was created for a class assignment in AI and Natural History at St. Mary’s College of Maryland.

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This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

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If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            coral-bleaching-classification_dataset,
                            title = { Coral Bleaching Classification  Dataset },
                            type = { Open Source Dataset },
                            author = { kates AI project },
                            howpublished = { \url{ https://universe.roboflow.com/kates-ai-project/coral-bleaching-classification } },
                            url = { https://universe.roboflow.com/kates-ai-project/coral-bleaching-classification },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-09 },
                            }