Kerapu-kakap Computer Vision Project

Kedaireka

Updated 2 years ago

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Classes (13)
Epinephelus ongus
FISH Fish
Lutjanus bengalensis
Lutjanus decussatus
Lutjanus fulviflamma
Lutjanus gibbus
Lutjanus lutjanus
anyperodon_leucogrammicus
epinepelus_quoyanus
epinephelus_faveatus
fish
variola_albimarginata
Description

Here are a few use cases for this project:

  1. Marine Research and Conservation: The Kerapu-kakap model could be utilized by marine biologists and ecologists to quickly identify diverse fish species in underwater footage or images. This can help in monitoring biodiversity, tracking species migrations, and assessing population health or threats.

  2. Fishing Industry: Commercial fishing industries can use this computer vision model to validate, sort, and classify their catches. It helps to ensure sustainable fishing practices by facilitating identification of endangered species or overfished populations.

  3. Aquatic Veterinary Medicine: Veterinarians specialized in aquatic life can adopt this model to classify and investigate diseases or infections prevalent in specific fish species, particularly the ones requiring personalized treatment or care.

  4. Aquarium Management: Aquarium owners and curators can utilize the model to identify and catalog various species in their collection. It assists in managing population dynamics, ensuring species compatibility, and enhancing educational activities for visitors about different species.

  5. Recreational Fishing: Amateurs and enthusiasts can use an application equipped with Kerapu-kakap to instantly identify their catches. Such a tool can bring significant value to the recreational fishing community by aiding in accurate catch reporting, identifying rare species, and supporting sustainable fishing practices.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            kerapu-kakap_dataset,
                            title = { Kerapu-kakap Dataset },
                            type = { Open Source Dataset },
                            author = { Kedaireka },
                            howpublished = { \url{ https://universe.roboflow.com/kedaireka/kerapu-kakap } },
                            url = { https://universe.roboflow.com/kedaireka/kerapu-kakap },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-12-23 },
                            }