box2 Computer Vision Project

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Description

Here are a few use cases for this project:

  1. Automated Storage and Retrieval: "box2" can be used in warehouse management systems to automate the process of locating, storing, and retrieving different classes of boxes, streamlining inventory management and reducing manual labor.

  2. Quality Control in Production Lines: Manufacturers can use "box2" to identify box types and detect defects on packaging lines, ensuring only correctly packaged and labeled products move along the assembly line.

  3. Sorting Process in Recycling Facilities: By identifying different box classes, "box2" can aid recycling centers in sorting and separating boxes more accurately and efficiently, leading to improved waste management practices.

  4. Augmented Reality-based Box Assembly: "box2" can be implemented into AR applications or smart glasses to guide users through the process of assembling or disassembling different types of boxes, providing visual cues and step-by-step instructions.

  5. Retail Shelf Stock Monitoring: Retailers can use the "box2" model to monitor stock levels on shelves, identifying when a product is running low and triggering automatic reordering or prompting staff to restock the shelves in time to avoid out-of-stock situations.

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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{
                            box2-xdpuw_dataset,
                            title = { box2 Dataset },
                            type = { Open Source Dataset },
                            author = { xqqian@student.unimelb.edu.au },
                            howpublished = { \url{ https://universe.roboflow.com/xqqian-student-unimelb-edu-au-ahjw5/box2-xdpuw } },
                            url = { https://universe.roboflow.com/xqqian-student-unimelb-edu-au-ahjw5/box2-xdpuw },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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