15072022_Cho_N Computer Vision Project

Fieldlytics

Updated 2 years ago

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Classes (31)
Kit Kat 2 finger 18g
Kit Kat 4 finger 18g
Kit Kat 4 finger 38
Kit Kat 4 finger 38.5g
Kit kat 2F Min 12.8.g
KitKat Dessert Brownie 50g
KitKat Dessert Choco Fudge 150g
KitKat Dessert Choco Pudding 50g
KitKat Dessert Multi pack 180g
KitKat Dessert Truffle 50g
KitKat family pack 72g
KitKat share & snap 55g
KitKat share bag 126g
Milkybar 12
Milkybar 12.5g
Milkybar 42g
Milkybar Moosha 18g
Milkybar Moosha 40g
Munch 10.4g
Munch fruit o nuts 32g
Munch nuts pouch 240g
Nestle Bar one 38g
Nestle Classic 180g
Nestle Classic 18g
Nestle Classic 34g
Nestle Kitkat 27.5g
Nestle Milkybar 24.5g
Nestle Munch 25g
Nestle Munch nuts 32g
Nestle munch 187
Nestle munch 187.2g
Description

Here are a few use cases for this project:

  1. Smart Retail Inventory Management: "15072022_Cho_N" could be used to automatically track stock levels and product arrangements for the specified Nestle products at grocery stores or supermarkets, allowing for efficient inventory management and restocking alerts.

  2. Personalized Shopping Assistance: The model can be integrated into a shopping app to help users identify and locate specific Nestle products on store shelves, making their shopping experience more convenient and efficient.

  3. Automated Checkout Systems: The model can be used to create automated checkout systems in retail stores that quickly and accurately identify the Nestle items being purchased by customers, reducing checkout time and minimizing human errors.

  4. Waste Management and Expiration Tracking: The computer vision model can identify specific Nestle products in a storage facility, allowing for efficient management of waste and tracking of expiration dates to maintain product quality and safety.

  5. Nutritional Information Extraction: By identifying and recognizing specific Nestle product packaging, "15072022_Cho_N" can be used in health or diet apps to provide users with accurate nutritional information on these products, helping them make informed dietary choices.

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{
                            15072022_cho_n_dataset,
                            title = { 15072022_Cho_N Dataset },
                            type = { Open Source Dataset },
                            author = { Fieldlytics },
                            howpublished = { \url{ https://universe.roboflow.com/fieldlytics-sn6h2/15072022_cho_n } },
                            url = { https://universe.roboflow.com/fieldlytics-sn6h2/15072022_cho_n },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { sep },
                            note = { visited on 2024-11-21 },
                            }