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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.

License Plate Detection and Recognition

By: Quantiphi Latest Version: 2.0

Product Overview

License Plate Recognition is one of the techniques used for vehicle identification purposes. The sole intention of this product is to find the most efficient way to recognize the number plate information from the digital image . This process involves detecting a vehicle, localizing the license plate and then segmenting & recognizing the characters from the license plate. We used the OpenALPR dataset as the test set to evaluate the accuracy of the proposed method. Our system achieved an average accuracy of 89.33%.

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By Quantiphi
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

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Fulfillment Methods

Amazon SageMaker

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