Sold by: Ambarella-Model PreparationÂ
Overview
Ambarella’s Model Garden is a collection of models tuned for Ambarella's chipsets for ease of deployment. Users can select the domain and choose from one of the offered models based on their real world application.
Every model undergoes transfer learning to adapt to user's dataset and then is further optimized using Ambarella's proprietary model compression toolkit to enhance the performance on Ambarella's devices. Users are provided with optimization knobs that influence the trained model's accuracy and performance. Finally, the CVflow SDK compiles the trained model, generating an artifacts tar file containing compiled binaries that can be used to run on the device without any extra code.
Highlights
- The goal is to allow users to bring in their own dataset and train using Ambarella's proprietary backbone or standard backbones to get the best model in terms of accuracy and throughput to deploy on Ambarella's AI SoCs.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.c5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.c5.xlarge instance type, real-time mode | $0.00 |
ml.c5.xlarge Inference (Batch) Recommended | Model inference on the ml.c5.xlarge instance type, batch mode | $0.00 |
ml.g4dn.xlarge Training Recommended | Algorithm training on the ml.g4dn.xlarge instance type | $0.00 |
ml.m4.4xlarge Inference (Real-Time) | Model inference on the ml.m4.4xlarge instance type, real-time mode | $0.00 |
ml.m5.4xlarge Inference (Real-Time) | Model inference on the ml.m5.4xlarge instance type, real-time mode | $0.00 |
ml.m4.16xlarge Inference (Real-Time) | Model inference on the ml.m4.16xlarge instance type, real-time mode | $0.00 |
ml.m5.2xlarge Inference (Real-Time) | Model inference on the ml.m5.2xlarge instance type, real-time mode | $0.00 |
ml.p3.16xlarge Inference (Real-Time) | Model inference on the ml.p3.16xlarge instance type, real-time mode | $0.00 |
ml.m4.2xlarge Inference (Real-Time) | Model inference on the ml.m4.2xlarge instance type, real-time mode | $0.00 |
ml.c5.2xlarge Inference (Real-Time) | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.00 |
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Delivery details
Amazon SageMaker algorithm
An Amazon SageMaker algorithm is a machine learning model that requires your training data to make predictions. Use the included training algorithm to generate your unique model artifact. Then deploy the model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Update in tool license.
Additional details
Inputs
- Summary
Model input format is image/jpg
https://github.com/Ambarella-Inc/amba-mps/blob/2b59ec057595f10751bb2add97680c6843f72025/images/000005.jpg
https://github.com/Ambarella-Inc/amba-mps/blob/2b59ec057595f10751bb2add97680c6843f72025/images/000005.jpg
Resources
Vendor resources
Support
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