Name: Hera Vision - Soda Dataset
License: https://creativecommons.org/licenses/by/4.0/

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Explore Dataset

Here are a few use cases for this project:

"Inventory Automation": Retailers or supermarkets can use the model to automate their inventory management system. The model can scan products and update their quantity in the inventory, reducing manual errors and streamlining the process.
"Waste Sorting": Municipalities or waste management firms can use this model in their automated waste sorting systems to identify and separate recyclable materials (e.g., soda cans) from non-recyclable waste.
"Smart Shopping Assistants": The model can be incorporated into a smart shopping assistant app that helps visually impaired individuals identify products while shopping. The app can guide them by saying out the name of the object recognized.
"Autonomous Checkout Systems": Retail sectors can implement this model in autonomous checkout systems. The model can identify products as they pass through a scanner and add them to a customer's bill.
"Automated Cleaning": Home cleaning service providers can use this model for smart cleaning robots. The robots can identify different kinds of products, understand their functionality, and avoid or handle them appropriately during cleaning operations.

Cite This Project

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

@misc{
                            hera-vision---soda_dataset,
                            title = { Hera Vision - Soda Dataset },
                            type = { Open Source Dataset },
                            author = { Daniella Camargo },
                            howpublished = { \url{ https://universe.roboflow.com/daniella-camargo/hera-vision---soda } },
                            url = { https://universe.roboflow.com/daniella-camargo/hera-vision---soda },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-19 },
                            }