Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Product Overview
Agmis company competence - image recognition and understanding. For example, our solutions recognize different objects in images/video. We provide solutions for retail, constructions, aero and visual inspection. This model is used to read price information in pricetags.
Key Data
Version
By
Type
Model Package
Highlights
Understand product prices in retail
Know if it is a right price
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$4.00/hr
running on ml.m5.xlarge
Model Batch Transform$4.00/hr
running on ml.m5.xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$0.23/host/hr
running on ml.m5.xlarge
SageMaker Batch Transform$0.23/host/hr
running on ml.m5.xlarge
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.m4.4xlarge | $4.00 | |
ml.m5.4xlarge | $4.00 | |
ml.m5.12xlarge | $4.00 | |
ml.m5d.24xlarge | $4.00 | |
ml.m5d.4xlarge | $4.00 | |
ml.m4.16xlarge | $4.00 | |
ml.m5.2xlarge | $4.00 | |
ml.m5.xlarge Vendor Recommended | $4.00 | |
ml.m4.xlarge | $4.00 | |
ml.m4.2xlarge | $4.00 | |
ml.m5d.2xlarge | $4.00 | |
ml.m5d.12xlarge | $4.00 | |
ml.m5.large | $4.00 | |
ml.t2.xlarge | $4.00 | |
ml.m4.10xlarge | $4.00 | |
ml.m5.24xlarge | $4.00 | |
ml.m5d.xlarge | $4.00 | |
ml.m5d.large | $4.00 | |
ml.t2.large | $4.00 | |
ml.t2.medium | $4.00 | |
ml.t2.2xlarge | $4.00 |
Usage Information
Model input and output details
Input
Summary
The model can analyze images that are supplied as base64 string.
Limitations for input type
The image should be smaller than 5mb.
Input MIME type
application/x-imageSample input data
Output
Summary
Model outputs JSON output that contains recognized price in a form of a dict separated the main price and ct price.
{"price": {"0": 8, "1": 99}}
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
End User License Agreement
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Support Information
AWS Infrastructure
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Learn MoreRefund Policy
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