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.
Skin Disease Classification (CPU)
Latest Version:
Version 1
Classify skin images which potentially contain diseases
Product Overview
Classify skin images which potentially contain diseases. This model was trained on acne rosacea, actinic keratosis, bascell cell carcinoma, benign keratosis, eczema, melanoma, nevus, or vascular issues. This model is not intended for medical use or diagnosis.
Key Data
Version
Categories
Type
Model Package
Highlights
Classify skin images which potentially contain diseases.
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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.
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.c5.xlarge
Model Batch Transform$0.00/hr
running on ml.c5.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$0.204/host/hr
running on ml.c5.xlarge
SageMaker Batch Transform$0.204/host/hr
running on ml.c5.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.c5.xlarge Vendor Recommended | $0.00 |
Usage Information
Fulfillment Methods
Amazon SageMaker
Example for the /invocations endpoint:
Input (application/json): Image with peoples faces that needs to be blurred [base64 encoded]
Payload: {"instances": [{"image": {"b64": "BASE_64_ENCODED_IMAGE_CONTENTS"}}]}
Output (application/json): Classification scores for acne rosacea, actinic keratosis, bascell cell carcinoma, benign keratosis, eczema, melanoma, nevus, vascular
Content: {"labels": ["acne_rosacea", … ], "predictions": [ { "label": "bascell_cell_carcinoma", "scores": [0.1, ...]}]}
Additional Resources
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Support Information
Skin Disease Classification (CPU)
If you need any support, have questions, or suggestions, please email ml-support@figure-eight.com
AWS Infrastructure
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