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Amazon Sagemaker

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.

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Facial Recognition API

By:
Seamfix
Introduce Facial Recognition to your application in minutes with Facial Recognition API by Seamfix.
  • This product has been removed and is no longer available to new customers.

Product Overview

Facial Recognition API by Seamfix helps you integrate Facial Recognition to your mobile and web applications, reducing the need for additional infrastructure. You can detect & compare human faces, and Identify people based on the parameters you set. Now you can enjoy accurate recognition suitable for identity verification, security systems and access control.

Key Data

By
Seamfix
Categories
Human/Faces
Classification-Image
Computer Vision
Type
Model Package
Fulfillment Methods
Amazon SageMaker

Highlights

  • Level Up Your Facial Recognition: Facial Recognition API by Seamfix accurately compares and matches human faces within seconds.

  • Enjoy Accuracy: Facial Recognition API by Seamfix relies on advanced AI technology to ensure accuracy of results.

  • Ensure Improved Image Quality: Facial Recognition API by Seamfix recognizes faces from various angles and lighting conditions, so only accurate images are approved.

Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

Usage Information

Model input and output details

Input

Summary

The input format is json expecting the source image and target images in base64 string. The source and target images are the innput images you send to the model for matching

Limitations for input type
6MB
Input MIME type
application/json
Sample input data
{"source_image": source_img_base64,"target_image": target_img_base64}
Expand all input descriptions
Field names
source_image, target_image
Description
source_image: source image to be matched with 2nd. image target_image: target image to be matched with source image
Required
Yes
Data type
FreeText

Output

Summary

To use our facematch model, users can simply input two face images, and the model will output a similarity score between the two faces. This score can then be used to determine whether the faces belong to the same person or not.

Output MIME type
application/json
Sample output data
Expand all output descriptions
Field names
{"similarity_score", "match", "message"}
Description
{"similarity_score": similarity score between 2 images, "match": true if the images are a match, false if the images are not a match "message": Image matches and Image not a match}
Always returned
Yes
Data type
FreeText

Sample notebook

Additional Resources

End User License Agreement

By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

Support Information

Facial Recognition API

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AWS Infrastructure

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Refund Policy

KIndly contact us support@seamfix.com

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