energy_drinks Computer Vision Project

Kartik Shekhar

Updated 2 years ago

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redbull
redbull_white
river_cola
rockstar

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Description

Here are a few use cases for this project:

  1. Store Inventory Management: Retailers and supermarkets can utilize the "energy_drinks" model to automate inventory tracking and management. It can identify different brands of energy drinks on the shelves, assisting them in maintaining a required level of stock and updating them when the supply of certain drinks is low.

  2. Consumer Behavior Analysis: Market researchers can perform observational studies to understand consumers' energy drink preferences in different regions or demographics. By analyzing security footage with the model, researchers can identify the frequency of specific brands being picked up by customers.

  3. Recycling Centers: Recycling centers can use this model to accurately sort energy drink cans by brand, improving the efficiency of the recycling process.

  4. Vending Machine Refilling: Vending machine operators could use this model for automated restocking. Drones or robots equipped with cameras could identify which drinks need to be restocked in different vending machines.

  5. Advertising Analysis: Advertisers and media agencies can use this model to monitor the placement of specific energy drinks' cans in TV shows, movies, or online videos for brand visibility and product placement analysis.

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Cite This Project

LICENSE
Public Domain

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            energy_drinks_dataset,
                            title = { energy_drinks Dataset },
                            type = { Open Source Dataset },
                            author = { Kartik Shekhar },
                            howpublished = { \url{ https://universe.roboflow.com/kartik-shekhar-oz2qb/energy_drinks } },
                            url = { https://universe.roboflow.com/kartik-shekhar-oz2qb/energy_drinks },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-11-21 },
                            }