Trash_Recognition_2 (600/1998) Computer Vision Project

Trash Recognition

Updated 3 years ago

Description

Here are a few use cases for this project:

  1. Waste Sorting and Recycling: This model can be utilized in waste sorting and recycling facilities to improve the speed and accuracy of material identification, resulting in more efficient recycling processes.

  2. Environment Cleanup: The model can assist in cleanup initiatives, to quickly distinguish and classify litter in public places, beaches, and parks.

  3. Smart Waste Bins: It can be incorporated in smart waste bin systems to identify and sort waste, adding to the convenience for users and promoting environmental sustainability.

  4. Educational Tool: This model can be used as an educational tool to help individuals learn about different types of waste, so they can better sort their trash at home and office.

  5. Retail Industry: In the retail industry, the model can be used to automate the identification and categorization of waste products, aiding in more accurate waste management and potentially reducing costs.

Supervision

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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{
                            trash_recognition_2--600-1998_dataset,
                            title = { Trash_Recognition_2 (600/1998) Dataset },
                            type = { Open Source Dataset },
                            author = { Trash Recognition },
                            howpublished = { \url{ https://universe.roboflow.com/trash-recognition/trash_recognition_2--600-1998 } },
                            url = { https://universe.roboflow.com/trash-recognition/trash_recognition_2--600-1998 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-12-03 },
                            }
                        
                    

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