card grading Computer Vision Project

Jason Brenan

Updated a year ago

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Classes (9)
bottom edge
cards
left edge
lower left corner
lower right corner
right edge
top edge
upper left corner
upper right corner

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Description

Here are a few use cases for this project:

  1. Sports Memorabilia Evaluation: The "card grading" model can be used by sports memorabilia collectors and sellers to identify and grade the condition of cards in their collection or inventory, easing the process of evaluation, buying, and selling.

  2. Antique Shop Assistance: Antique shops often deal with a vast inventory of items which could include vintage cards. The model can help identify and assess the classes and condition of these antique cards, aiding in adequate pricing.

  3. Museum Cataloging: Museums that house sports, vintage cards, or any card-based displays can use this model to categorize, grade, and track their card inventory effectively.

  4. Online Auction Houses: Platforms such as eBay, which deal with the sale of a myriad of card types, can implement this computer vision model to verify the authenticity and condition of cards being auctioned, improving user experience and trust.

  5. Trading Card Game Community: The model can be deployed within platforms that host trading card game communities like Magic: The Gathering or Pokemon, assisting players to not only identify their card classes but also evaluate the card's condition for trade or sale.

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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{
                            card-grading_dataset,
                            title = { card grading Dataset },
                            type = { Open Source Dataset },
                            author = { Jason Brenan },
                            howpublished = { \url{ https://universe.roboflow.com/jason-brenan/card-grading } },
                            url = { https://universe.roboflow.com/jason-brenan/card-grading },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-11-26 },
                            }
                        
                    

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