Roboflow Universe projject nets

nets Computer Vision Project

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Here are a few use cases for this project:

Fisheries Maintenance: The model can be beneficial for fisheries to monitor and identify different types of fishing nets, enhancing productivity by choosing the most suitable net.
Marine Conservation: Use the model to identify abandoned or lost fishing nets in oceans, often referred to as 'ghost nets', which are extremely harmful to aquatic life.
Sports Equipment Retail: The model can be used in the retail industry for sorting and categorizing sporting goods, particularly various types of nets used in different sports.
Net Manufacturing Quality Control: Net manufacturers can use the model to inspect the quality and class of nets during production, ensuring consistent quality.
Plastic Pollution Tracking: The model can support environmental research and recycling efforts by tracking plastic net waste in both urban and natural environments.

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{
                            nets_dataset,
                            title = { nets Dataset },
                            type = { Open Source Dataset },
                            author = { projject },
                            howpublished = { \url{ https://universe.roboflow.com/projject/nets } },
                            url = { https://universe.roboflow.com/projject/nets },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-18 },
                            }