snack01 Computer Vision Project

project-kz30s

Updated a year ago

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Classes (24)
Alsaeuchip
Backside
BananaKick
CaramelCornMaple
Cheetos
CornChips
Gamjakkang
Jjanggu
JollyPong
Kkobugchip
Kkochgelang
Kkulkkwabaegi
KokkalCorn
Koncho
Matdongsan
Ogamja
Pocachip_Onion
Pocachip_Original
Postick
Saeukkang
Sunchip
Swingchip
Yangpaling
konchi

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Description

Here are a few use cases for this project:

  1. Smart Vending Machines: The model can be used in smart vending machines to accurately identify and provide inventory information about available snacks, helping with automatic restocking alerts.

  2. Retail Store Automation: The model can be used for checkout-free shopping experiences similar to the Amazon Go. Shoppers can simply take the snacks they want, and the computer vision would identify it and charge them automatically.

  3. Dietary Apps: The model can be integrated in nutrition and diet apps to help users identify their snack's nutrition information just by taking a picture, making it easier to maintain a healthy diet.

  4. Waste Sorting: The model can help differentiate packaging materials used for different snacks, aiding in waste sorting and recycling efforts at an industrial scale.

  5. Snack Manufacturing Quality Control: The model can be used on the production line to identify misprints or mispackaging issues ensuring that every package is correctly labeled for sale.

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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{
                            snack01_dataset,
                            title = { snack01 Dataset },
                            type = { Open Source Dataset },
                            author = { project-kz30s },
                            howpublished = { \url{ https://universe.roboflow.com/project-kz30s/snack01 } },
                            url = { https://universe.roboflow.com/project-kz30s/snack01 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-11-27 },
                            }
                        
                    

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