Empty slots in shelves 2 Computer Vision Project

FYP

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Description

Here are a few use cases for this project:

  1. Inventory Management: Retailers or supermarkets can use this model to instantly detect empty slots on their shelves and restock efficiently.

  2. Warehouse Optimization: Warehouses can implement the model to identify empty sections in their arrangements, giving them a better understanding of space usage and potential optimization.

  3. Automated Retail: Vending machine operators could benefit from the model by having it automatically recognize low stock or empty slots and send alerts for needed restocking.

  4. Library Management: Libraries might utilize this model to recognize empty slots in bookshelf organization to plan for ordering or repositioning of books.

  5. Smart Home Organization: Homeowners can use this model in smart home applications to keep track of empty slots in their pantry or refrigerator, and create shopping lists accordingly.

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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{
                            empty-slots-in-shelves-2_dataset,
                            title = { Empty slots in shelves 2 Dataset },
                            type = { Open Source Dataset },
                            author = { FYP },
                            howpublished = { \url{ https://universe.roboflow.com/fyp-qtd0e/empty-slots-in-shelves-2 } },
                            url = { https://universe.roboflow.com/fyp-qtd0e/empty-slots-in-shelves-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-11-14 },
                            }