Mesophotic_All Computer Vision Project

HaBB

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Classes (71)
Acanthopathes
Actiniaria
Allopathes
Alveopora
Antipathidae
Aphanipathidae
Asteroidea
Astreopora
Astrogorgiidae
Blastomussa
Caryophillidae
Caryophylliidae
Coralliidae
Corallimorpharia
Coscinaraea
Craterastrera
Crinoidea
Cycloseris
Dactylotrochus
Decapoda
Dendrophyllia
Dendrophyllia minuscola
Dipsastraea
Echinoidea
Echinometridae
Echinophyllia
Ellisellidae
Euplexauridae
Favites
Gardineroseris
Gastropoda
Goniopora
Hydrozoa
Keroeididae
Keroididae
Leptastrea
Leptoseris
Madracis
Melithaea
Melithaeidae
Merulinidae
Montipora
Mycedium
Myriopathidae
Nephtheidae
Nidaliidae
Ophiura
Ophiurida
Osteichthyes
Pachyseris
Paralcyoniidae
Paramuriceidae
Parisidae
Pavona
Plesiastrea
Plexauridae
Podabacia
Rhizotrochus
Sabellida
Schizopathidae
Sclerophylia
Siphonogorgiidae
Sponge
Subergorgiidae
Tetrapathes
Turbinaria
Virgulariidae
Wire coral
Xeniidae
Zoantharia
corals

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Description

Here are a few use cases for this project:

  1. Marine Biology Study: This model can help marine biologists and researchers to automatically identify and classify various Anthozoa classes, enabling easier cataloging and analysis of marine life.

  2. Environmental Impact Studies: The model could be used to assess the condition of coral reefs and other marine habitats, helping to identify species that are at risk or invasive, and evaluating the health of the marine ecosystem.

  3. Aquarium Management: Aquariums can utilize this model to identify and classify their marine life for better care, display, and educational purposes.

  4. Commercial Fishing Impact Analysis: The model can be deployed to study the impact of commercial fishing on various Anthozoa classes helping to propel sustainability initiatives.

  5. Marine Wildlife Photography: Wildlife photographers could use this model to automatically tag and classify images they capture, saving them time on manual classification and ensuring correct identification.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            mesophotic_all_dataset,
                            title = { Mesophotic_All Dataset },
                            type = { Open Source Dataset },
                            author = { HaBB },
                            howpublished = { \url{ https://universe.roboflow.com/habb/mesophotic_all } },
                            url = { https://universe.roboflow.com/habb/mesophotic_all },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-12-24 },
                            }
                        
                    

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