Name: unmaned_retail Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

407 images

Explore Dataset

Here are a few use cases for this project:

Automated Retail Checkout: This model could be used in an “Amazon Go"-like checkout system where users can pick up an item and walk out of the store, with the system automatically detecting the items and billing the customers' account.
Inventory Management: Retailers can use this model to quickly scan their inventory and identify stocks of specific candies and snacks, helping them to manage reordering and overstock scenarios.
Nutrition Apps: The model can be employed in nutrition apps to help users identify food products by taking pictures of them, providing a quick way to find out nutritional information.
Learning Platform: The model can be used in education and learning platforms where students learn about different global food items. By scanning pictures of these food items, the model can provide relevant information.
Smart Vending Machines: Populating vending machines with this model could allow them to identify what products are being selected, facilitating a seamless and checkout-free purchasing experience.

Cite This Project

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

@misc{
                            unmaned_retail_dataset,
                            title = { unmaned_retail Dataset },
                            type = { Open Source Dataset },
                            author = { meican },
                            howpublished = { \url{ https://universe.roboflow.com/meican/unmaned_retail } },
                            url = { https://universe.roboflow.com/meican/unmaned_retail },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2024-05-15 },
                            }