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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 and License Plate Anonymizer
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By: NavInfo Europe B.V. Latest Version: 4.0.0

Product Overview

NavInfo Europe's face and license plate anonymizer detects and blurs recognisable faces and license plates in images. The blurring of faces and license plates helps to reach global privacy standards. The models are trained using images taken from a dashcam. For any specific solution, contact us to create a model to solve your needs The average precision, average recall and F1-score for License Plates are 98.5, 99.42 and 98.96 respectively when testing on public datasets (CCPD). For faces these are 95.59, 98.05 and 96.80 respectively (IJB-C). Training set that was used was created by Navinfo Europe.

Key Data

By NavInfo Europe B.V.
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

Face and License Plate Anonymizer

Navinfo Europe provides support upon request by the customer. Please contact our support engineers or sales representatives using the following e-mail address:

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Refund Policy

Currently we do not support refunds, but you can cancel your subscription to this service at any time.

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