By using the new crowd face detection feature, now we can easily detect all the faces in one go without any complicated preprocessing.” –Shinji Miyazato, Engineering Department SRE Lead, Sen Corporation. Improved Accuracy for Face Detection Model We ...
real-time face recognition across tens of millions of faces, and detection of up to 100 faces in challenging crowded photos. Customers who are already using Amazon Rekognition for face verification and identification will experience up to a 10% accuracy improvement...
When tested on the validation dataset, the model shows an accuracy of 99.1% but delivers a high false-negative rate of 87.7%. The Specialist needs to bring down the number of false-negative predictions for the model to be acceptable in production. Which combination of actions must be taken ...
You can get information about the input and output streams, the input parameters for the face recognition being performed, and the current status of the stream processor. Specified by: describeStreamProcessor in interface AmazonRekognition Parameters: describeStreamProcessorRequest - Returns:...
When tested on the validation dataset, the model shows an accuracy of 99.1% but delivers a high false-negative rate of 87.7%. The Specialist needs to bring down the number of false-negative predictions for the model to be acceptable in production. Which combination of actions must be taken...
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You can get information about the input and output streams, the input parameters for the face recognition being performed, and the current status of the stream processor. Parameters: describeStreamProcessorRequest - Returns: Result of the DescribeStreamProcessor operation returned by the service. ...
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