Out Of Stock detection Computer Vision Project

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Description

Here are a few use cases for this project:

  1. Retail Inventory Management: This model can be integrated into automated inventory management systems to facilitate prompt restocking decisions. It can directly analyze shelf images and notify staff when products are out of stock.

  2. Consumer Behavior Analysis: By noticing how quickly items are exhausted, the model can provide insights into consumer purchasing trends and preferences, aiding in predictive analysis for better stocking strategies.

  3. E-Commerce Platforms: Online supermarkets can use the model in their warehouses to ensure product availability information on their site is updated in real-time, enhancing customer shopping experience.

  4. Automated Grocery Stores: For stores with a cashier-less system, this model can assist in maintaining a constant stock level by providing immediate alerts for restocking necessities.

  5. Pharma Stock Monitoring: In pharmacies, this model can help ensure vital medications are always in stock, aiding in timely patient care and mitigating health risks.

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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{
                            out-of-stock-detection_dataset,
                            title = { Out Of Stock detection Dataset },
                            type = { Open Source Dataset },
                            author = { Empty Space detection Capstone },
                            howpublished = { \url{ https://universe.roboflow.com/empty-space-detection-capstone/out-of-stock-detection } },
                            url = { https://universe.roboflow.com/empty-space-detection-capstone/out-of-stock-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-14 },
                            }
                        
                    

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