Fish Analytics

FIsh Polygons

Object Detection

FIsh Polygons Computer Vision Project

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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-polygons_dataset,
                            title = { FIsh Polygons Dataset },
                            type = { Open Source Dataset },
                            author = { Fish Analytics },
                            howpublished = { \url{ https://universe.roboflow.com/fish-analytics/fish-polygons } },
                            url = { https://universe.roboflow.com/fish-analytics/fish-polygons },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { mar },
                            note = { visited on 2024-05-05 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the FIsh Polygons project in your project.

Last Updated

2 months ago

Project Type

Object Detection

Subject

Fish-species-SW-Australia-WKUy-Fish

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Downloads: 0

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License

CC BY 4.0

Classes

Atule mate Coris sandeyeri Mugil cephalus Neatypus obliquus Oligoplites sp Pagrus auratus Pempheris sp Platycephalus sp Sphyraena novaehollandiae Stingray