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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RocketML Vehical Attribute Detection
By:
Latest Version:
0.1
Model detects Vehicle, License Plate and vehicle attributes
Product Overview
This model finds the vehicles and license plates; reports general vehicle attributes, for example, vehicle type (car/van/bus/track) and color; reports a string per recognized license plate.
Key Data
Version
By
Categories
Type
Model Package
Highlights
The model is a pipeline of multiple asynchronous networks : Vehicle Attributes and License Plate Recognition networks are executed on top of the Vehicle Detection results
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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$1.10/hr
running on ml.c5.xlarge
Model Batch Transform$1.10/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 | $1.10 |
Usage Information
Fulfillment Methods
Amazon SageMaker
See example notebook for example usage.
Additional Resources
End User License Agreement
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Support Information
AWS Infrastructure
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