Sold by: RocketMLÂ
Deployed on AWS
Face blocking is a model for anonymizing images. Use this model to hide information in images that you don't want to become public.
Overview
This model out-of-the-box detects faces accurately, is deep learning based, and in particular, utilizes the Single Shot Detector (SSD) framework with ResNet as the base network.
Highlights
- You can perform fast, accurate face detection & blocking with RocketML pre-trained deep learning face detector model
- Deep learning face detector/blocking is based on the Single Shot Detector (SSD) framework with a ResNet base network
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 (Batch) Recommended | Model inference on the ml.c5.xlarge instance type, batch mode | $1.10 |
ml.c5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.c5.xlarge instance type, real-time mode | $1.10 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a 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
call support@rocketml.net to learn about this model
Additional details
Inputs
- Summary
Call support@rocketml.net to learn about this model. Link to example notebook for example usage will be added soon!
See Input Summary
See Input Summary
Resources
Vendor resources
Support
AWS infrastructure support
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