Paper and Plastic Detection Computer Vision Project

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Description

Here are a few use cases for this project:

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

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Cite This Project

LICENSE
CC BY 4.0

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 2024-11-21 },
                            }
                        
                    

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