Roboflow Universe University of Michigan Fish detector

Fish detector Computer Vision Project

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Here are a few use cases for this project:

Marine Biology Research: This model can be a powerful tool for marine biologists or researchers to easily identify and classify diverse types of fish, aiding in ecological studies and biodiversity assessments.
Aquaculture Management: The fish detector can help fish farm operators to monitor species in their commercial tanks, facilitating better management of the fish stocks.
Fishing Industry: It could be used in the fishing industry to instantly classify the type of fish caught, ensuring compliance with fishing regulations and preserving endangered species.
Supermarket and Restaurants: This model could be used to automatically categorize types of fish in supermarkets or restaurants, improving inventory management and customer service.
Underwater Robotics: For underwater exploration, submarines and robotic systems could use this model to detect and classify different species of fish, aiding data collection and deep-sea exploration.

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{
                            fish-detector-rzopd_dataset,
                            title = { Fish detector Dataset },
                            type = { Open Source Dataset },
                            author = { University of Michigan },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-michigan-du9nk/fish-detector-rzopd } },
                            url = { https://universe.roboflow.com/university-of-michigan-du9nk/fish-detector-rzopd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-29 },
                            }