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.
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High Resolution Image Enhancer
By:
Latest Version:
3.1
This solution helps improve the resolution and detail of images with advanced AI-based image super resolution techniques.
Product Overview
This solution utilizes GAN based techniques that reconstructs the image at a pixel level to generate a high-resolution version that preserves the original details and sharpness. The result is an image that is ready for printing, editing, or use in any application where high quality is a must. This solution takes a zip file of low resolution image/images as input and returns a zip file of transformed hi-res image/images as output.This solution supports jpg,jpeg and png file formats. Limit the number of images to 20 and image size of around 250KB is recommended for optimal use in low end machines.
Key Data
Version
By
Type
Model Package
Highlights
An easy to use solution for generating high resolution images from low resolution.This solution will aid in improving image resolution for low resolution images of scans and documents by using advance machine learning techniques
The resolution of medical photos, satellite images, insurance documents, and many other types of images can be improved with the help of this solution, which also makes images more visually appealing and immersive.
Mphasis Synth Studio is an Enterprise Synthetic Data Platform for generating high-quality synthetic data that can help derive and monetize trustworthy business insights, while preserving privacy and protecting data subjects. Build reliable and high accuracy models when no or low data is available.
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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$5.00/inference
running on any instance
Model Batch Transform$10.00/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 the number of inferences generated by the ML Model per month. Typically, the number of inferences is the same as the number of successful calls to the real-time endpoint. For models that support multiple inputs in a request, sellers have the option to meter the number of inputs processed in a request to count generated inferences.
Additional infrastructure cost, taxes or fees may apply.
Usage Information
Model input and output details
Input
Summary
A zip file with low resolution images is required as input. Please refer sample images
Limitations for input type
Limit each image size to around 250 KB
Input MIME type
application/zipSample input data
Output
Summary
Output will be a zip file with the images converted into high resolution
Output MIME type
application/zip, text/plainSample output data
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
High Resolution Image Enhancer
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AWS Infrastructure
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Learn MoreRefund Policy
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