Images

1350 images

Explore Dataset

Here are a few use cases for this project:

Fish Market Inventory Management: The Yellow Corvina model can be used to assist vendors in fish markets by identifying and differentiating between fish types, including Yellow Corvina. This can aid in stocktaking, price calculation, and efficiently managing their inventory.
Fisheries Management and Reporting: The model can be used in fisheries where yellow corvina are harvested. It can help in accurately identifying the population of fish species, providing important data for sustainability measures and catch reports.
Biodiversity Studies: Researchers and marine biologists can use it to study the prevalence and distribution of different fish species, including yellow corvina, in different global marine ecosystems.
Aquaculture Monitoring: Aquaculture or fish farming businesses can deploy this model to monitor the presence and health of yellow corvina in their systems, aiding in farming optimization.
EdTech Applications: The model can be implemented in educational technology solutions for students studying marine biology or related fields. It can foster interactive learning by accurately identifying various fish species in mixed images.

Note: It's indicated that the dataset includes image text, suggesting that this model might also include object recognition combined with text recognition capabilities.

Cite This Project

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

@misc{
                            yellow-corvina_dataset,
                            title = { Yellow Corvina Dataset },
                            type = { Open Source Dataset },
                            author = { Koreanfish2 },
                            howpublished = { \url{ https://universe.roboflow.com/koreanfish2-v30jc/yellow-corvina } },
                            url = { https://universe.roboflow.com/koreanfish2-v30jc/yellow-corvina },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-05-03 },
                            }