Name: Fish_P2 Dataset
License: https://creativecommons.org/licenses/by/4.0/

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7495 images

Explore Dataset

Here are a few use cases for this project:

Fish Species Identification: "Fish_P2" can be used by marine biologists and researchers to identify and classify fish species in a specific environment based on the classes G (Good) and NG (Not Good). This can be helpful for biodiversity studies and conservation efforts.
Fishing Industry: The model can be used to automate the process of sorting through the catch on fishing vessels. By identifying and categorizing fish as G (Good) and NG (Not Good), it can enhance the efficiency of fishing operations and ensure only high-quality fish are processed.
Aquarium Management: Aquariums can use the model to monitor the health and species of fish in their tanks. The G class can show healthy fish, while NG class can highlight those that may need medical attention or are unfit for showcasing.
Pollution Impact Research: Environmental researchers can utilize "Fish_P2" to measure the impact of pollution or climate change effects on marine life. By identifying G and NG fishes, the model can help quantify the impact on different species.
Aquaculture Industry: The aquafarming industry can incorporate "Fish_P2" into monitoring systems to track fish health and growth, identifying G (Good) or NG (Not Good) fish as indicators of overall farm health and efficiency.

Cite This Project

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

@misc{
                            fish_p2_dataset,
                            title = { Fish_P2 Dataset },
                            type = { Open Source Dataset },
                            author = { Test Project 2nd },
                            howpublished = { \url{ https://universe.roboflow.com/test-project-2nd/fish_p2 } },
                            url = { https://universe.roboflow.com/test-project-2nd/fish_p2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { sep },
                            note = { visited on 2024-06-18 },
                            }