Name: TNALUBMA Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

7424 images

Explore Dataset

Here are a few use cases for this project:

Marine Habitat Monitoring: The AMBULANT model could assist marine biologists or researchers in observing the changes in marine habitats. This could aid in understanding the impact of global warming, pollution, or invasive species on specific habitats.
Biodiversity Studies: The model could be invaluable in classifying and recording instances of different species in their respective habitats, providing useful data for ecological and biodiversity studies.
Underwater Exploration: Companies or organizations that engage in underwater exploration or archeology might use the model to help identify various habitats or species in their underwater images.
Environmental Impact Assessments: Before starting developments near coastlines, construction companies or environmental consulting firms could use this model to aid in conducting environmental impact assessments, helping to identify the various marine habitats and species that might be affected.
Educational Applications: This model could be incorporated into educational software or material (e.g., virtual reality experiences, interactive mobile apps) to help students learn about different marine habitats and species.

Cite This Project

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

@misc{
                            tnalubma_dataset,
                            title = { TNALUBMA Dataset },
                            type = { Open Source Dataset },
                            author = { MCASTIICT },
                            howpublished = { \url{ https://universe.roboflow.com/mcastiict/tnalubma } },
                            url = { https://universe.roboflow.com/mcastiict/tnalubma },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-04-29 },
                            }