FMS_DS_V2 Computer Vision Project

toetoeag@gmail.com

Updated 3 years ago

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Description

Here are a few use cases for this project:

  1. Aquarium Maintenance: The "FMS_DS_V2" model could be used by aquariums to monitor the population and health of fish species. Automated counts and behavior tracking would provide useful insights for aquarium maintenance and management.

  2. Wildlife Conservation: Using this model, wildlife researchers and conservationists can identify and track Tiger species in their habitats. The model can help in estimating population, monitoring the behavior, and assessing the overall health of these potential endangered species.

  3. Fish Farm Monitoring: This model could also be utilized by fish farms to monitor fish populations and detect any unusual behavior early on, which could indicate disease or poor living conditions aiding in efficient fish farming.

  4. Ecological Research: Scientists studying freshwater or marine ecosystems can use the "FMS_DS_V2" model to more easily identify species in collected images or video, reducing the time it takes to manually identify species.

  5. Surveillance System in Zoos: This model can be part of a surveillance system in a park or a zoo to ensure a healthy, controlled count of a certain kind of fish or tiger. In the event of unusual activity or a missing animal, the system would alert human operators.

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Cite This Project

LICENSE
MIT

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

                        @misc{
                            fms_ds_v2_dataset,
                            title = { FMS_DS_V2 Dataset },
                            type = { Open Source Dataset },
                            author = { toetoeag@gmail.com },
                            howpublished = { \url{ https://universe.roboflow.com/toetoeag-gmail-com/fms_ds_v2 } },
                            url = { https://universe.roboflow.com/toetoeag-gmail-com/fms_ds_v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { feb },
                            note = { visited on 2024-11-21 },
                            }