Final iteration Computer Vision Project

Shrimp Project

Updated 2 years ago

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Classes (2)
gs
inf
Description

Here are a few use cases for this project:

  1. Fisheries Management: This computer vision model could be used by regulatory bodies or fisheries organizations to quickly identify different types of fish species (gs) and their maturity level or size (inf), providing critical data for sustainable fisheries management.

  2. Recreational Fishing Applications: An application could use this model to help amateur or recreational fishermen identify their catch and provide relevant information about the size or age of the fish and its edibility.

  3. Education and Research: The model can be used by marine biologists or students for learning or research purposes, helping in the identification and categorization of varied fish species and their characteristics.

  4. Commercial Seafood Industry: The model can be employed at seafood markets or by commercial suppliers for quick identification and sorting of different fish species and their size/condition, streamlining the supply chain process.

  5. Environmental Monitoring: The model can be used to monitor biodiversity in certain aquatic environments, or track species development over time, providing valuable data for environmental studies and conservation efforts.

Supervision

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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{
                            final-iteration_dataset,
                            title = { Final iteration Dataset },
                            type = { Open Source Dataset },
                            author = { Shrimp Project },
                            howpublished = { \url{ https://universe.roboflow.com/shrimp-project/final-iteration } },
                            url = { https://universe.roboflow.com/shrimp-project/final-iteration },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-12-22 },
                            }