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 Batch Video Object Detection Free trial
By:
Latest Version:
0.1
Object Detection on videos for offline processing and caption creation
Product Overview
Fast offline object detection using SSD or Yolo on batches of videos for offline processing and video analytics.
Key Data
Version
By
Type
Algorithm
Highlights
Process an unlimited number of videos
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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
Algorithm Training$0.20/hr
running on ml.c5.2xlarge
Model Realtime Inference$0.20/hr
running on ml.c5.2xlarge
Model Batch Transform$0.20/hr
running on ml.c5.2xlarge
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 Algorithm Training$0.408/host/hr
running on ml.c5.2xlarge
SageMaker Realtime Inference$0.408/host/hr
running on ml.c5.2xlarge
SageMaker Batch Transform$0.408/host/hr
running on ml.c5.2xlarge
About Free trial
Try this product for 7 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.
Algorithm Training
For algorithm training 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 | Algorithm/hr | |
---|---|---|
ml.c5.xlarge | $0.20 | |
ml.c5.2xlarge Vendor Recommended | $0.20 | |
ml.c5.4xlarge | $0.20 | |
ml.c5.9xlarge | $0.20 | |
ml.c5.18xlarge | $0.20 |
Usage Information
Fulfillment Methods
Amazon SageMaker
See example notebook for example usage.
Channel specification
Fields marked with * are required
train
Input modes: File
Content types: None
Compression types: None
Hyperparameters
Fields marked with * are required
model_framework
Model framework to use - tensorflow or darknet
Type: Categorical
Tunable: No
model_type
Model used for object detection
Type: Categorical
Tunable: No
frames_per_blob
Number of frames/images to load in memory per blob
Type: Integer
Tunable: No
frame_stride
Number of frames to skip - 1 is using all frames
Type: Integer
Tunable: No
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
RocketML Batch Video Object Detection
RocketML offers free support with email response as well as one-on-one office hours with our experienced solution architects. The service helps customers of all sizes and technical abilities to make best use of RocketML products and features. Subscribers and prospecting customers can contact us at the URL below or email support@rocketml.net
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
We do not currently support refunds, but you can cancel at any time. Please contact us at info@rocketml.net
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