Object Detector_Yihan Guo Object Detection Dataset and Pre-Trained Model by University of Michigan

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Explore Dataset

Here are a few use cases for this project:

Marine Life Research: This model can be useful in identifying different marine species in underwater explorations or surveys, assisting marine biologists by automatically cataloging the various types of species observed during their research.
Fishery Management: In fisheries, it can be used to monitor the types and volumes of species caught. This can help in the sustainable management of marine resources by preventing overfishing of certain species.
Ocean Clean-Up Efforts: This model can detect marine life within images taken during ocean clean-ups, assessing the diversity and amount of sea life in areas with high pollution levels to monitor the environmental impact.
Smart Aquariums: "Object Detector_Yihan Guo" can be utilized in smart aquariums to identify and monitor the health and behavior of different fish and marine species. It can alert aquarium managers to potential illnesses or unusual behaviors.
Educational Applications: This model can be employed in interactive educational programs, websites or mobile apps aimed at teaching about different marine species. Upon uploading a picture, students could instantly identify the species they see.
Wildlife Documentary Filmmaking: This model could assist filmmakers and photographers in identifying elusive or rare marine species in their footage.

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{
                            object-detector_yihan-guo_dataset,
                            title = { Object Detector_Yihan Guo Dataset },
                            type = { Open Source Dataset },
                            author = { University of Michigan },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-michigan-du9nk/object-detector_yihan-guo } },
                            url = { https://universe.roboflow.com/university-of-michigan-du9nk/object-detector_yihan-guo },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-04-27 },
                            }