marine debris Object Detection Dataset and Pre-Trained Model by marine debris

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Explore Dataset

Here are a few use cases for this project:

Maritime Waste Management: This model can be used to automate sorting and identification of debris collected by waste management facilities near coastal areas. This aids in recycling efforts and helps to categorize and quantify the amount of different types of waste being expelled into the ocean.
Eco-awareness Campaigns: Environmental organizations can use the Marine Debris computer vision model to analyze images or videos collected from various seaside or underwater locations. They can then use this data to create impactful campaigns that raise awareness about the extent of marine pollution.
Local Authority Waste Monitoring: Local governments can deploy this model to monitor their water bodies and inspect the level and type of marine debris present. This can further help in creating regulations, implementing clean-up initiatives and monitoring their effectiveness over time.
Marine Life Research: This model can be critical for marine biologists studying the impact of debris on marine life. By identifying the types and amounts of debris in different ocean areas, these researchers can better understand the dangers faced by specific underwater ecosystems.
Autonomous Clean-Up Drones Programming: Tech companies designing automated waste collection machinery or drones can use this model to enhance their hardware's ability to distinguish marine debris from natural elements present in water bodies, thus improving their efficiency.

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{
                            marine-debris-i2ge3_dataset,
                            title = { marine debris Dataset },
                            type = { Open Source Dataset },
                            author = { marine debris },
                            howpublished = { \url{ https://universe.roboflow.com/marine-debris/marine-debris-i2ge3 } },
                            url = { https://universe.roboflow.com/marine-debris/marine-debris-i2ge3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-07-27 },
                            }