Detection_ChunCheon Object Detection Dataset and Pre-Trained Model by ChunCheonversion2

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Here are a few use cases for this project:

Fisheries Monitoring: "Detection_ChunCheon" can be used in fisheries, particularly those focused on salmon cultivation, to monitor and categorize the salmon population effectively. The system can further distinguish between different subclasses of salmon, enhancing the precision of stock assessment and disease prevention measures.
Environmental Studies: Researchers and conservationists can utilize this model to study the migration patterns and population dynamics of salmon in their natural habitats, gaining insights into ecological changes and threats to salmon species.
Supermarket Inventory Management: Grocery stores and supermarkets can use the model to automate the process of identifying salmon species in their inventory, aiding in efficient stocking, pricing, and tracking.
Fish-processing Industry: The model can be used to streamline the sorting process in the fish-processing industry by effectively identifying different types/ages of salmon, thereby improving productivity and reducing manual labor.
Cooking and Food Blogs: For recipe websites and cooking apps, this model can help users to correctly identify different types of salmon. It can assist in suggesting specific types of salmon for specific recipes, enhancing user experience.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            detection_chuncheon_dataset,
                            title = { Detection_ChunCheon Dataset },
                            type = { Open Source Dataset },
                            author = { ChunCheonversion2 },
                            howpublished = { \url{ https://universe.roboflow.com/chuncheonversion2/detection_chuncheon } },
                            url = { https://universe.roboflow.com/chuncheonversion2/detection_chuncheon },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-05-08 },
                            }