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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.

Face Anonymizer (GPU)

By: Figure Eight Latest Version: Version 1

Product Overview

This model blurs the faces of people in an image to preserve privacy. It was trained on the “Labeled Faces in the Wild” dataset and tested on small and medium sized images. This is a great tool to mitigate privacy concerns when showing images which contain people in a public setting. Please note: though this model currently is optimized for caucasian men based solely on the training data set coverage, it will also work for other ethnicities and genders. A deep dive on the training data set to better understand the limitations is recommended.

Key Data

Version Version 1
By Figure Eight
Categories
Type Model
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Face Anonymizer (GPU)

If you need any support, have questions, or suggestions, please email ml-support@figure-eight.com

https://www.figure-eight.com/

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