Cardboard Computer Vision Project

Dataset

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Recycling Centers: The "Cardboard" computer vision model can be used to help in sorting waste at recycling centers. By identifying the type and quantity of cardboard in the waste stream, the system can speed up sorting and increase efficiencies.

  2. Packaging Industry: The model can assist in the identification and classification of different types of cardboard in the packaging industry. It can help catalog the various types of cardboard useful in creating specific packaging products.

  3. Waste Management: Municipalities or waste management companies can use the model to estimate the amount of cardboard waste in a given area and accordingly plan their recycling initiatives.

  4. Retail Stores: The model can be used in retail stores to manage stocks or inventory. It could identify and classify the boxes of products coming into the store.

  5. Warehouse Management: The "Cardboard" model can be used to automate inventory management in warehouses, enabling efficient tracking and management of goods stored in different types of cardboard boxes.

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{
                            cardboard-eupc8_dataset,
                            title = { Cardboard Dataset },
                            type = { Open Source Dataset },
                            author = { Dataset },
                            howpublished = { \url{ https://universe.roboflow.com/dataset-t7hz7/cardboard-eupc8 } },
                            url = { https://universe.roboflow.com/dataset-t7hz7/cardboard-eupc8 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-11-14 },
                            }
                        
                    

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