underwater Object Detection Dataset and Pre-Trained Model by sad

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Explore Dataset

Here are a few use cases for this project:

Biodiversity Monitoring: Marine biologists could use the "underwater" model for tracking and studying the biodiversity in different aquatic ecosystems. Tracking specific identifiers such as starfish, sea snails, or seaweed could provide insights about environmental health and species populations.
Clean-up Initiatives: Environmental organizations could utilize this model to spot non-natural items such as iron, bottles, and wood. This would help in planning and executing efficient ocean cleanup drives, thus promoting marine conservation.
Underwater Archeology: The model can be used in underwater archeology for the classification and identification of items of interest at a dig site. The ability to distinguish between natural objects (like stones) and man-made objects (like iron or bottles) could be particularly useful.
Aquaculture Industry: This model could assist in managing aquafarms by identifying any foreign objects that may harm marine populations, like waste materials or harmful species.
Scuba Diving Tourism: The model could be used to build interactive applications that help divers identify underwater species or objects of interest in real time, enhancing the diving experience.

Trained Model API

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.

Cite This Project

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

@misc{
                            underwater-7imhq_dataset,
                            title = { underwater Dataset },
                            type = { Open Source Dataset },
                            author = { sad },
                            howpublished = { \url{ https://universe.roboflow.com/sad-ayjbc/underwater-7imhq } },
                            url = { https://universe.roboflow.com/sad-ayjbc/underwater-7imhq },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-05-06 },
                            }