Universe

Quarters Varied Computer Vision Model

byMike LangTask:
Object Detection
License:CC BY 4.032 views1 download

How to use the Quarters Varied Detection API

Try This Model

Drop an image here or click to upload

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="quarters-varied/3")
Give your agent everything it needs

Or, Use Free 1999 CT, 1999 GA and 2001 Detection API

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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": "1999 CT, 1999 GA, 2001, 2001 NC, 2001 VT"
  },
  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 688 imagesQuarters Varied Quarters sample showing 2008, 2008 OK, OKQuarters Varied Quarters sample showing 2014, 2014 Shenandoah, ShenandoahQuarters Varied Quarters sample showing 2015, 2015 Saratoga, SaratogaQuarters Varied Quarters sample showing 2011, 2011 Glacier, GlacierQuarters Varied Quarters sample showing 2007, 2007 ID, IDQuarters Varied Quarters sample showing 2001, 2001 VT, VTQuarters Varied Quarters sample showing 2013, 2013 Perry's Victory, Perry's VictoryQuarters Varied Quarters sample showing 2011, 2011 Glacier, GlacierQuarters Varied Quarters sample showing 2014, 2014 Shenandoah, ShenandoahQuarters Varied Quarters sample showing 2015, 2015 Kisatchie, KisatchieQuarters Varied Quarters sample showing Quarter D, Trust DQuarters Varied Quarters sample showing 2015, 2015 Kisatchie, Kisatchie

About Quarters Varied Model

Here are a few use cases for this project:

  1. Coin Collection Management: Coin collectors and enthusiasts can use the model to sort and catalog their collection of quarters by identifying the year and mint of each coin.

  2. Currency Verification: The system can be used in vending machines, self-checkout counters or other automated monetary transaction systems to verify the denomination of coins being used.

  3. Numismatic Research: Researchers and historians in numismatics can use the model for identifying and comparing different quarter varieties, aiding in studies about their production and dissemination.

  4. Educational Purposes: The model can be used in education to help students learn about different quarter varieties and their histories.

  5. Automated Coin Trading: The model can be used in developing systems for automatic coin trading where the year and type of a coin decide its value.

Cite This Project

LicenseCC BY 4.0

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

@misc{ quarters-varied_dataset,
  title = { Quarters Varied Dataset },
  type = { Open Source Dataset },
  author = { Mike Lang },
  howpublished = { \url{ https://universe.roboflow.com/mike-lang/quarters-varied } },
  url = { https://universe.roboflow.com/mike-lang/quarters-varied },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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