oct 12 dataset Computer Vision Project

Cylinder

Updated 2 years ago

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Classes (4)
expiry
label
qr
tare
Description

Here are a few use cases for this project:

  1. Grocery Quality Control: This model could be used in grocery stores to quickly scan and verify expiry dates on all the products. Instead of manually needing to check every single item, the vision tech could spot and alert for any expired or nearly expired products.

  2. Warehousing and Logistics Management: By being able to identify tare (the empty weight of a vehicle or container), QR codes, and labels, the model can assist in inventory management, item tracking, and automating the shipping/receiving process.

  3. Recycling Management: An application could identify the type of waste by scanning the label on disposal items, thus making sorting and recycling processes more efficient.

  4. Food Packaging Industry: It's particularly useful in the food packaging industry, where it can help ensure correct labels are placed on food packages and accurately determine the expiry dates.

  5. Supply Chain Transparency: The model could be beneficial in supply chain management, where it can decode information from QR codes to validate product authenticity, identify origin, track movement, and more.

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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{
                            oct-12-dataset_dataset,
                            title = { oct 12 dataset Dataset },
                            type = { Open Source Dataset },
                            author = { Cylinder },
                            howpublished = { \url{ https://universe.roboflow.com/cylinder-hmoki/oct-12-dataset } },
                            url = { https://universe.roboflow.com/cylinder-hmoki/oct-12-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { oct },
                            note = { visited on 2024-11-14 },
                            }
                        
                    

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