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.
Diabetic Retinopathy Detector
By:
Latest Version:
1.0
Image analysis model that identifies anomalies in images and classifies them by severity to scale screening for diabetic retinopathy
Product Overview
The Diabetic retinopathy detector is an image analysis and anomaly detection model that identifies and classifies diabetic anomalies in eye screens. It scales eye screening and helps doctors detect signs of diabetic retinopathy. As all screens are ranked by severity, doctors can address urgent cases first, to diagnose faster and prevent sight loss. NB: The model is not FDA-compliant; for auxiliary/support use only. We provide free support during the trial period! After you've succeeded with the subscription, reach out at support@vitechlab.com
Key Data
Version
Type
Model Package
Highlights
Automatically screen images for eye problems caused by diabetes; make eye screening more accessible to the populace through faster, more efficient diagnosis and reduced triage/triage costs
The model is trained on images annotated by highly trained ophthalmologists; each image in the dataset was reviewed and the specific diagnosis was provided, thus ensuring high accuracy of model performance
Need a custom-made solution for disease screening? Reach us at support@vitechlab.com
Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us
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.
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$0.00/hr
running on ml.c4.2xlarge
Model Batch Transform$0.00/hr
running on ml.c4.2xlarge
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$0.478/host/hr
running on ml.c4.2xlarge
SageMaker Batch Transform$0.478/host/hr
running on ml.c4.2xlarge
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 | $0.00 | |
ml.m5.4xlarge | $0.00 | |
ml.m5d.24xlarge | $0.00 | |
ml.m4.16xlarge | $0.00 | |
ml.m5.2xlarge | $0.00 | |
ml.p3.16xlarge | $0.00 | |
ml.c5d.4xlarge | $0.00 | |
ml.m4.2xlarge | $0.00 | |
ml.c5.2xlarge | $0.00 | |
ml.c5d.9xlarge | $0.00 | |
ml.p3.2xlarge | $0.00 | |
ml.c4.2xlarge Vendor Recommended | $0.00 | |
ml.m4.10xlarge | $0.00 | |
ml.m5.24xlarge | $0.00 | |
ml.m5d.xlarge | $0.00 | |
ml.p2.xlarge | $0.00 | |
ml.m5.12xlarge | $0.00 | |
ml.m5d.4xlarge | $0.00 | |
ml.p2.16xlarge | $0.00 | |
ml.c4.4xlarge | $0.00 | |
ml.m5.xlarge | $0.00 | |
ml.c5.9xlarge | $0.00 | |
ml.c5.4xlarge | $0.00 | |
ml.m4.xlarge | $0.00 | |
ml.m5d.2xlarge | $0.00 | |
ml.p3.8xlarge | $0.00 | |
ml.m5d.12xlarge | $0.00 | |
ml.c4.8xlarge | $0.00 | |
ml.p2.8xlarge | $0.00 | |
ml.t2.xlarge | $0.00 | |
ml.c5.18xlarge | $0.00 | |
ml.c5d.18xlarge | $0.00 | |
ml.t2.2xlarge | $0.00 | |
ml.c5d.2xlarge | $0.00 |
Usage Information
Fulfillment Methods
Amazon SageMaker
Example notebooks for deployment, Real Time inference and Batch Transformation
You can find all the information related to the usage of our product here: https://github.com/VITechLab/aws-sagemaker-examples/blob/master/Diabetic-Retinopathy-Detector/
It contains example Jupyter Notebooks showing how to deploy the model, run Real Time inference, run Batch Transform job to perform the inference on the data stored in Amazon S3 bucket. It also contains input and output data samples. As well as the code for visualizing the prediction results.
Using our model for real time prediction using python is as simple as this:
predictor = sagemaker.predictor.RealTimePredictor(
' your endpoint name ',
sagemaker_session=sagemaker.Session(),
content_type="image/jpeg"
)
with open('data/sample_image.jpg', 'rb') as img:
img_bytes = bytearray(img.read())
result = predictor.predict(img_bytes).decode("utf-8")Supported content types are [“image/jpeg”] Supported response types are “application/json”
You can find more details here: https://github.com/VITechLab/aws-sagemaker-examples/blob/master/Diabetic-Retinopathy-Detector/
Additional Resources
End User License Agreement
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Support Information
Diabetic Retinopathy Detector
If you have any issues or feature requests, please write to us, and we will be happy to help you as soon as possible.
We can also create custom software and models optimised for your specific use case. Reach us at support@vitechlab.com
AWS Infrastructure
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.
Learn MoreRefund Policy
This product is offered for free. If there are any questions, please contact us for further clarifications.
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