Raghad Abo El-Eneen

Sea-Creatures-Detection

Object Detection

Sea-Creatures-Detection Computer Vision Project

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752 images
Explore Dataset

Here are a few use cases for this project:

  1. Marine Life Conservation: Researchers involved in marine life conservation can utilize the "Sea-Creatures-Detection" model to identify and monitor the population and health of different sea creatures like sea-pens, rock-fish, crabs, or seastars. They can check on endangered species or invasive ones, assisting in the evaluation and maintenance of the overall marine ecosystem.

  2. Undersea Exploration: Oceanographers and marine biologists can use this model during their undersea explorations. It can help in identifying previously unknown species or creatures that are hard to distinguish, such as flat-fish that blend in with the seafloor, or creatures that look similar like starfish and brittle-stars.

  3. Fishery Management: The fishing industry can benefit from this model by being able to identify the types of fish in their capture, minimizing bycatch, and improving fishing methods. This can contribute to more sustainable fisheries management.

  4. Aquarium Maintenance and Care: Aquarium owners, aquaponics enthusiasts, and zookeepers can use this model to monitor the sea creatures in their care. The model can help in identifying any new-born creatures in the tank, monitor the well-being of resident animals, and distinguish between similar-looking species.

  5. Educational Tools: The model can be integrated into educational tools or apps used for teaching marine biology. This can help students identify different sea creatures, understand their habitat and behaviors, and foster an appreciation for marine life. Besides, it can also assist in the creation of interactive marine life databases or field guides.

Cite This Project

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

@misc{
                            sea-creatures-detection_dataset,
                            title = { Sea-Creatures-Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Raghad Abo El-Eneen },
                            howpublished = { \url{ https://universe.roboflow.com/raghad-abo-el-eneen/sea-creatures-detection } },
                            url = { https://universe.roboflow.com/raghad-abo-el-eneen/sea-creatures-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jan },
                            note = { visited on 2024-04-29 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the Sea-Creatures-Detection project in your project.

Last Updated

2 years ago

Project Type

Object Detection

Subject

creatures

Views: 450

Views in previous 30 days: 83

Downloads: 20

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

anemone barnacle brittle-star crab crab_size eel-grass eel-pout-fish flat-fish laser rock-fish sea-pen seastar snail