Grocery Computer Vision Project

Brede Gjellesvik Bjørhovd

Updated 3 years ago

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Classes (2)
Coke15
Cokezero-
Description

Here are a few use cases for this project:

  1. Inventory Management: The "Grocery" model could be used by retailers to track and monitor the inventory of Coke15 and Cokezero- beverages in real-time. This can help notify the stock control team when certain items are running low.

  2. Self-Checkout Systems: This computer vision model could be integrated into self-checkout systems at grocery stores. The model would assist in the identification of the products, making the process more efficient and reducing the time customers spend in queues.

  3. Advertisement Analytics: Advertising agencies can use the "Grocery" model to evaluate how noticeable Coke15 and Cokezero- products are in a store. The analysis could help in strategic placement of these products to increase visibility and, ultimately, sales.

  4. Health and Dietary Applications: This model could assist health and diet mobile apps in recognizing and cataloging a user's soda intake. This could help users track their dieting goals more accurately.

  5. Waste Management: In recycling facilities, the "Grocery" model could help in the sorting process by identifying and categorizing these specific soda bottles, thus improving recycling efficiency.

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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{
                            grocery-4uhrr_dataset,
                            title = { Grocery Dataset },
                            type = { Open Source Dataset },
                            author = { Brede Gjellesvik Bjørhovd },
                            howpublished = { \url{ https://universe.roboflow.com/brede-gjellesvik-bjorhovd/grocery-4uhrr } },
                            url = { https://universe.roboflow.com/brede-gjellesvik-bjorhovd/grocery-4uhrr },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-09-27 },
                            }
                        
                    

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