Paper and Plastic Detection Object Detection Dataset and Pre-Trained Model by Methods of Research Final Project

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Explore Dataset

Here are a few use cases for this project:

Waste Classification and Recycling: Industries or municipal bodies could employ this model to automatically sort waste into paper or plastic categories, facilitating more efficient recycling processes.
Environmental Protection: Various organizations or government departments might use the model for capturing and monitoring plastic waste in public areas or natural environments, helping to measure pollution levels.
Retail and Supermarkets: It could be integrated into self-service checkout systems to automatically identify the difference between plastic and paper packaging, allowing for potential pricing differences or recycling initiatives.
Education and Research: Teachers, students, and researchers can use it as a practical tool for exploring machine learning or environmental sciences and promoting the importance of waste separation.
Smart Home Integration: The model could be integrated into a smart home system to guide residents in sorting their trash accurately and educating them on recycling.

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{
                            paper-and-plastic-detection_dataset,
                            title = { Paper and Plastic Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Methods of Research  Final Project },
                            howpublished = { \url{ https://universe.roboflow.com/methods-of-research-final-project/paper-and-plastic-detection } },
                            url = { https://universe.roboflow.com/methods-of-research-final-project/paper-and-plastic-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-04-28 },
                            }