Universe

card grading Computer Vision Model

byJason BrenanTask:
Object Detection
License:CC BY 4.0631 views7 downloads

How to use the card grading Detection API

Try This Model

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Or try a test image 

Code Snippets

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://serverless.roboflow.com",
    api_key="API_KEY"
)

result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="card-grading/2")
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Code
pip install inference-sdk
# 1. Import the library
from inference_sdk import InferenceHTTPClient

# 2. Connect to your workspace
client = InferenceHTTPClient(
  api_url="https://serverless.roboflow.com",
  api_key="API_KEY"
)

# 3. Run your workflow on an image
result = client.run_workflow(
  workspace_name="<YOUR_WORKSPACE>",
  workflow_id="<YOUR_WORKFLOW_ID>",
  images={
    "image": "YOUR_IMAGE.jpg"  # Path to your image file
  },
  parameters={
    "classes": "bottom edge, cards, left edge, lower left corner, lower right corner"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

Drop an image here or click to upload

Detecting classes:
Or try a test image 
See all 41 imagescard grading cards samplecard grading cards sample showing cardscard grading cards samplecard grading cards samplecard grading cards samplecard grading cards samplecard grading cards samplecard grading cards samplecard grading cards samplecard grading cards samplecard grading cards samplecard grading cards sample

About card grading Model

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.

Cite This Project

LicenseCC 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 2026-07-29 },
}

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