Milk Boxes Object Detection Dataset and Pre-Trained Model by YOLOv5

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Explore Dataset

Here are a few use cases for this project:

Inventory Management: The "Milk Boxes" model can be utilized in warehouses and supermarkets for automated inventory counting and management. The system will be able to scan and identify different brands of milk boxes, reducing manual checking and enhancing efficiency.
Quality Control: In production sites, the model can be used to verify the quality control and packaging process. It could check whether milk box labels are correctly placed and for the right brands, potentially reducing human error in packaging.
Retail Analytics: Businesses can use the model in-store to monitor the consumption of different milk brands. Analyzing which brands are being picked up more frequently can provide insights for strategic product placement and inventory replenishment.
Recycling Facilities: The model can assist in sorting and recycling processes by distinguishing between different brands or types of milk boxes. This would improve the speed and accuracy of waste management.
Automated Checkout: In self-service stores or automated checkout systems, the model can be utilized to scan and identify the milk-box brands from the customer's shopping basket, enhancing the speed and ease of checkouts.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

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

@misc{
                            milk-boxes_dataset,
                            title = { Milk Boxes Dataset },
                            type = { Open Source Dataset },
                            author = { YOLOv5 },
                            howpublished = { \url{ https://universe.roboflow.com/yolov5-m1iyn/milk-boxes } },
                            url = { https://universe.roboflow.com/yolov5-m1iyn/milk-boxes },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-06-25 },
                            }