Quarters Varied Computer Vision Project

Mike Lang

Updated 3 years ago

22

views

1

download
Classes (53)
1999 CT
1999 GA
2001
2001 NC
2001 VT
2002
2002 IN
2002 OH
2006
2006 NV
2007
2007 ID
2007 WA
2007 WY
2008
2008 HI
2008 OK
2011
2011 Glacier
2013
2013 Perry's Victory
2014
2014 Great Sand Dunes
2014 Shenandoah
2015
2015 Kisatchie
2015 Saratoga
2016
2016 Harper's Ferry
CT
GA
Glacier
Great Sand Dunes
HI
Harper's Ferry
ID
IN
Kisatchie
NC
NV
OH
OK
Perry's Victory
Quarter D
Quarter P
Saratoga
Shenandoah
Trust D
Trust P
VT
WA
WY
x1999

Metrics

Try This Model
Drop an image or
Description

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.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            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 2024-11-23 },
                            }
                        
                    

Similar Projects

See More
2.5k images 2 models