test1 Computer Vision Project

food7

Updated 2 years ago

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Classes (7)
23
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coca-cola
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fanta
fantacoca-cola
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Description

Here are a few use cases for this project:

  1. Inventory Management: Use "test1" to automate stock tracking and monitoring in retail stores or warehouses by identifying the different soda brands and their quantities within images of shelves or storage areas.

  2. Smart Vending Machines: Implement the model in vending machines to enable real-time monitoring of product availability, track the popularity of specific products among consumers, and trigger restocking notifications as required.

  3. Advertising Analytics: Analyze the presence and frequency of soda product placements in TV shows, movies, and online videos to gain insights into brand popularity and effectiveness of advertising strategies.

  4. Recycling and Waste Management: Integrate "test1" within waste sorting systems to automatically identify soda bottles based on their brand, improving the sorting process and supporting recycling initiatives.

  5. Health and Nutrition Applications: Use the model in apps that help users track their soda consumption based on images uploaded by users. With this information, users can then gain insights into their calorie intake, sugar consumption, and make healthier choices in their diet.

Supervision

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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{
                            test1-iajnv_dataset,
                            title = { test1 Dataset },
                            type = { Open Source Dataset },
                            author = { food7 },
                            howpublished = { \url{ https://universe.roboflow.com/food7/test1-iajnv } },
                            url = { https://universe.roboflow.com/food7/test1-iajnv },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-12-22 },
                            }
                        
                    

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