Name: Carteras Dataset
License: https://creativecommons.org/licenses/by/4.0/

Images

1322 images

Explore Dataset

Here are a few use cases for this project:

Loss Prevention in Retail Environment: Security teams can use "Carteras" to monitor stores in real-time for potential theft activity. If the model detects an item matching the characteristics of a wallet being taken without being paid for, staff can be alerted immediately.
E-commerce Cataloging: Online marketplaces that sell wallets can use "Carteras" to automatically categorize uploaded product images into specific wallet classes. This would streamline the listing process, reduce manual effort, and enhance the accuracy of categorization.
Personal Property Insurance: Insurance companies can use "Carteras" to document and verify personal property claims. Policyholders can upload images of their wallets, and the AI can document the details, reducing the time insurance agents have to spend on manual processing.
Augmented Reality Shopping Apps: Developers of AR shopping apps could use "Carteras" to help users visualize how different styles of wallets would look in their possession. Users could 'see' the specifics of a wallet before making a purchase.
Second-Hand Goods Sale Verification: Platforms like eBay, Craigslist, or Facebook Market could use "Carteras" to confirm the authenticity of wallets listed for sale. This could aid in avoiding scams or sales of counterfeit goods.

Cite This Project

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

@misc{
                            carteras_dataset,
                            title = { Carteras Dataset },
                            type = { Open Source Dataset },
                            author = { Detencion },
                            howpublished = { \url{ https://universe.roboflow.com/detencion/carteras } },
                            url = { https://universe.roboflow.com/detencion/carteras },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { jul },
                            note = { visited on 2024-05-09 },
                            }