Sold by: RocketMLÂ
Overview
Detect the location of the credit card in the image; Localize the four groupings of four digits, pertaining to the sixteen digits on the credit card; Apply OCR to recognize the sixteen digits on the credit card; Recognize the type of credit card (i.e., Visa, MasterCard, American Express, etc.).
Highlights
- Detects credit card, extracts credit card number and card type
Details
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.c5.xlarge Inference (Batch) Recommended | Model inference on the ml.c5.xlarge instance type, batch mode | $0.20 |
ml.c5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.c5.xlarge instance type, real-time mode | $0.20 |
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Call support@rocketml.net for any questions or support
Additional details
Inputs
- Summary
Detect Credit Card Type and Number
- Input MIME type
- application/x-image
See Input Summary
See Input Summary
Resources
Vendor resources
Support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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