Name: sciroc_tmp Dataset
License: https://creativecommons.org/publicdomain/zero/1.0/

Images

977 images

Explore Dataset

Here are a few use cases for this project:

Retail Inventory Management: The "sciroc_tmp" model could be applied in retail stores for automatic inventory tracking. By scanning the store shelves, the system can identify which products from the available classes are in stock. This automates the stocktaking process and aids in restocking needs.
Automatic Vending Machines: The model can be used to identify items within a vending machine. It can help keep track of what items have been selected and are in stock, enhancing the user experience and management efficacy.
Recycling Sorting: The model could be utilized in waste management to sort recyclable materials. It can identify what type of item is in the waste (a can of sprite, ringo, etc.) and appropriately sort it into a designated recycling bin.
Smart Shopping Apps: A mobile application could leverage this model for a user-oriented shopping assistant. Users simply capture the products in their kitchen and the application identifies the items from the available classes, helping users create a shopping list.
Point-Of-Sale Systems: The model could be adopted in cash registers and point of sale (POS) systems to automatically identify products, making checkout faster and more efficient. Instead of manual entry or barcode scanning, items are recognized by the computer vision system.

Cite This Project

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

@misc{
                            sciroc_tmp_dataset,
                            title = { sciroc_tmp Dataset },
                            type = { Open Source Dataset },
                            author = { Marco Gabriele Fedozzi },
                            howpublished = { \url{ https://universe.roboflow.com/marco-gabriele-fedozzi/sciroc_tmp } },
                            url = { https://universe.roboflow.com/marco-gabriele-fedozzi/sciroc_tmp },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { sep },
                            note = { visited on 2024-05-08 },
                            }