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 understand where price tags are and later identify (read price tag information)
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Highlights
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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.
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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.m5.4xlarge | $4.00 | |
ml.m5.12xlarge | $4.00 | |
ml.m5.large | $4.00 | |
ml.m5.2xlarge | $4.00 | |
ml.m5.24xlarge | $4.00 | |
ml.m5.xlarge Vendor Recommended | $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 and aspect ratio should be no smaller than 1600x2000, also it depends on the size of the price tags in the image itself. The rack should be photographed from no further than 1m (3.3ft), so that the price tags are clearly visible.
Input MIME type
application/x-imageSample input data
Output
Summary
Model outputs JSON of predictions.
{"predictions": [{"x_min": 46, "y_min": 44, "x_max": 129, "y_max": 89, "score": 0.99721360206604}, {"x_min": 190, "y_min": 340, "x_max": 266, "y_max": 381, "score": 0.9956786632537842}]}
Output MIME type
application/jsonSample output data
Sample notebook
Additional Resources
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Support Information
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