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

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Explore Dataset

Here are a few use cases for this project:

Grocery Store Inventory Management: The model can be used in scanning and tracking different products including milk, juice, and soda, to help store manager monitor product run-outs and control inventory levels.
Waste Management and Recycling: In municipalities, the model could be used to sort household waste into different categories. It can identify milk bottles, soap, disinfectant, juice, soda, etc., making recycling more accurate and efficient.
Smart Retail: For self-checkout systems, the model can be used to identify the products the customer is buying by verifying the visual characteristics of the items with the list of known items including milk, juice, chips, popcorn, etc.
Nutrition Applications: Use this model in nutrition-related apps to help users identify food products, like milk, juice, and soda to get details about nutritional value and manage diets.
Automated Quality Control: In production lines, this model can be integrated to perform quality control on products such as milk, all-purpose cleaner, veja, chips etc., checking for packaging defects or other non-conformities.

Cite This Project

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

@misc{
                            hera-vision---milk-mq4ki_dataset,
                            title = { Hera Vision - Milk Dataset },
                            type = { Open Source Dataset },
                            author = { Daniella Camargo },
                            howpublished = { \url{ https://universe.roboflow.com/daniella-camargo/hera-vision---milk-mq4ki } },
                            url = { https://universe.roboflow.com/daniella-camargo/hera-vision---milk-mq4ki },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { nov },
                            note = { visited on 2024-04-30 },
                            }