rekognition-2016-06-27
library
Classes
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AgeRange
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Structure containing the estimated age range, in years, for a face.
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Asset
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Assets are the images that you use to train and evaluate a model version.
Assets can also contain validation information that you use to debug a
failed model training.
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AudioMetadata
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Metadata information about an audio stream. An array of
AudioMetadata
objects for the audio streams found in a stored
video is returned by GetSegmentDetection.
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AwsClientCredentials
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AWS credentials.
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Beard
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Indicates whether or not the face has a beard, and the confidence level in
the determination.
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BoundingBox
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Identifies the bounding box around the label, face, text or personal
protective equipment. The
left
(x-coordinate) and
top
(y-coordinate) are coordinates representing the top and
left sides of the bounding box. Note that the upper-left corner of the image
is the origin (0,0).
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Celebrity
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Provides information about a celebrity recognized by the
RecognizeCelebrities operation.
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CelebrityDetail
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Information about a recognized celebrity.
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CelebrityRecognition
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Information about a detected celebrity and the time the celebrity was
detected in a stored video. For more information, see
GetCelebrityRecognition in the Amazon Rekognition Developer Guide.
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ComparedFace
-
Provides face metadata for target image faces that are analyzed by
CompareFaces
and RecognizeCelebrities
.
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ComparedSourceImageFace
-
Type that describes the face Amazon Rekognition chose to compare with the
faces in the target. This contains a bounding box for the selected face and
confidence level that the bounding box contains a face. Note that Amazon
Rekognition selects the largest face in the source image for this
comparison.
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CompareFacesMatch
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Provides information about a face in a target image that matches the source
image face analyzed by
CompareFaces
. The Face
property contains the bounding box of the face in the target image. The
Similarity
property is the confidence that the source image
face matches the face in the bounding box.
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CompareFacesResponse
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ContentModerationDetection
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Information about an unsafe content label detection in a stored video.
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CoversBodyPart
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Information about an item of Personal Protective Equipment covering a
corresponding body part. For more information, see
DetectProtectiveEquipment.
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CreateCollectionResponse
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CreateProjectResponse
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CreateProjectVersionResponse
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CreateStreamProcessorResponse
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CustomLabel
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A custom label detected in an image by a call to DetectCustomLabels.
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DeleteCollectionResponse
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DeleteFacesResponse
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DeleteProjectResponse
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DeleteProjectVersionResponse
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DeleteStreamProcessorResponse
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DescribeCollectionResponse
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DescribeProjectsResponse
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DescribeProjectVersionsResponse
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DescribeStreamProcessorResponse
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DetectCustomLabelsResponse
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DetectFacesResponse
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DetectionFilter
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A set of parameters that allow you to filter out certain results from your
returned results.
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DetectLabelsResponse
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DetectModerationLabelsResponse
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DetectProtectiveEquipmentResponse
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DetectTextFilters
-
A set of optional parameters that you can use to set the criteria that the
text must meet to be included in your response.
WordFilter
looks at a word’s height, width, and minimum confidence.
RegionOfInterest
lets you set a specific region of the image to
look for text in.
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DetectTextResponse
-
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Emotion
-
The emotions that appear to be expressed on the face, and the confidence
level in the determination. The API is only making a determination of the
physical appearance of a person's face. It is not a determination of the
person’s internal emotional state and should not be used in such a way. For
example, a person pretending to have a sad face might not be sad
emotionally.
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EquipmentDetection
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Information about an item of Personal Protective Equipment (PPE) detected by
DetectProtectiveEquipment. For more information, see
DetectProtectiveEquipment.
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EvaluationResult
-
The evaluation results for the training of a model.
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Eyeglasses
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Indicates whether or not the face is wearing eye glasses, and the confidence
level in the determination.
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EyeOpen
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Indicates whether or not the eyes on the face are open, and the confidence
level in the determination.
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Face
-
Describes the face properties such as the bounding box, face ID, image ID of
the input image, and external image ID that you assigned.
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FaceDetail
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Structure containing attributes of the face that the algorithm detected.
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FaceDetection
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Information about a face detected in a video analysis request and the time
the face was detected in the video.
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FaceMatch
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Provides face metadata. In addition, it also provides the confidence in the
match of this face with the input face.
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FaceRecord
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Object containing both the face metadata (stored in the backend database),
and facial attributes that are detected but aren't stored in the database.
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FaceSearchSettings
-
Input face recognition parameters for an Amazon Rekognition stream
processor.
FaceRecognitionSettings
is a request parameter for
CreateStreamProcessor.
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Gender
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The predicted gender of a detected face.
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Geometry
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Information about where an object (DetectCustomLabels) or text
(DetectText) is located on an image.
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GetCelebrityInfoResponse
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GetCelebrityRecognitionResponse
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GetContentModerationResponse
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GetFaceDetectionResponse
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GetFaceSearchResponse
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GetLabelDetectionResponse
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GetPersonTrackingResponse
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GetSegmentDetectionResponse
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GetTextDetectionResponse
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GroundTruthManifest
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The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest
file.
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HumanLoopActivationOutput
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Shows the results of the human in the loop evaluation. If there is no
HumanLoopArn, the input did not trigger human review.
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HumanLoopConfig
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Sets up the flow definition the image will be sent to if one of the
conditions is met. You can also set certain attributes of the image before
review.
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HumanLoopDataAttributes
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Allows you to set attributes of the image. Currently, you can declare an
image as free of personally identifiable information.
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Image
-
Provides the input image either as bytes or an S3 object.
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ImageQuality
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Identifies face image brightness and sharpness.
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IndexFacesResponse
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Instance
-
An instance of a label returned by Amazon Rekognition Image
(DetectLabels) or by Amazon Rekognition Video
(GetLabelDetection).
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KinesisDataStream
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The Kinesis data stream Amazon Rekognition to which the analysis results of
a Amazon Rekognition stream processor are streamed. For more information,
see CreateStreamProcessor in the Amazon Rekognition Developer Guide.
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KinesisVideoStream
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Kinesis video stream stream that provides the source streaming video for a
Amazon Rekognition Video stream processor. For more information, see
CreateStreamProcessor in the Amazon Rekognition Developer Guide.
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Label
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Structure containing details about the detected label, including the name,
detected instances, parent labels, and level of confidence.
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LabelDetection
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Information about a label detected in a video analysis request and the time
the label was detected in the video.
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Landmark
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Indicates the location of the landmark on the face.
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ListCollectionsResponse
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ListFacesResponse
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ListStreamProcessorsResponse
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ModerationLabel
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Provides information about a single type of unsafe content found in an image
or video. Each type of moderated content has a label within a hierarchical
taxonomy. For more information, see Detecting Unsafe Content in the Amazon
Rekognition Developer Guide.
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MouthOpen
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Indicates whether or not the mouth on the face is open, and the confidence
level in the determination.
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Mustache
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Indicates whether or not the face has a mustache, and the confidence level
in the determination.
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NotificationChannel
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The Amazon Simple Notification Service topic to which Amazon Rekognition
publishes the completion status of a video analysis operation. For more
information, see api-video.
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OutputConfig
-
The S3 bucket and folder location where training output is placed.
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Parent
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A parent label for a label. A label can have 0, 1, or more parents.
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PersonDetail
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Details about a person detected in a video analysis request.
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PersonDetection
-
Details and path tracking information for a single time a person's path is
tracked in a video. Amazon Rekognition operations that track people's paths
return an array of
PersonDetection
objects with elements for
each time a person's path is tracked in a video.
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PersonMatch
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Information about a person whose face matches a face(s) in an Amazon
Rekognition collection. Includes information about the faces in the Amazon
Rekognition collection (FaceMatch), information about the person
(PersonDetail), and the time stamp for when the person was detected
in a video. An array of
PersonMatch
objects is returned by
GetFaceSearch.
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Point
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The X and Y coordinates of a point on an image. The X and Y values returned
are ratios of the overall image size. For example, if the input image is
700x200 and the operation returns X=0.5 and Y=0.25, then the point is at the
(350,50) pixel coordinate on the image.
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Pose
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Indicates the pose of the face as determined by its pitch, roll, and yaw.
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ProjectDescription
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A description of a Amazon Rekognition Custom Labels project.
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ProjectVersionDescription
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The description of a version of a model.
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ProtectiveEquipmentBodyPart
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Information about a body part detected by DetectProtectiveEquipment
that contains PPE. An array of
ProtectiveEquipmentBodyPart
objects is returned for each person detected by
DetectProtectiveEquipment
.
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ProtectiveEquipmentPerson
-
A person detected by a call to DetectProtectiveEquipment. The API
returns all persons detected in the input image in an array of
ProtectiveEquipmentPerson
objects.
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ProtectiveEquipmentSummarizationAttributes
-
Specifies summary attributes to return from a call to
DetectProtectiveEquipment. You can specify which types of PPE to
summarize. You can also specify a minimum confidence value for detections.
Summary information is returned in the
Summary
(ProtectiveEquipmentSummary) field of the response from
DetectProtectiveEquipment
. The summary includes which persons
in an image were detected wearing the requested types of person protective
equipment (PPE), which persons were detected as not wearing PPE, and the
persons in which a determination could not be made. For more information,
see ProtectiveEquipmentSummary.
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ProtectiveEquipmentSummary
-
Summary information for required items of personal protective equipment
(PPE) detected on persons by a call to DetectProtectiveEquipment. You
specify the required type of PPE in the
SummarizationAttributes
(ProtectiveEquipmentSummarizationAttributes) input parameter. The
summary includes which persons were detected wearing the required personal
protective equipment (PersonsWithRequiredEquipment
), which
persons were detected as not wearing the required PPE
(PersonsWithoutRequiredEquipment
), and the persons in which a
determination could not be made (PersonsIndeterminate
).
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RecognizeCelebritiesResponse
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RegionOfInterest
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Specifies a location within the frame that Rekognition checks for text. Uses
a
BoundingBox
object to set a region of the screen.
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Rekognition
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This is the Amazon Rekognition API reference.
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S3Object
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Provides the S3 bucket name and object name.
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SearchFacesByImageResponse
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SearchFacesResponse
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SegmentDetection
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A technical cue or shot detection segment detected in a video. An array of
SegmentDetection
objects containing all segments detected in a
stored video is returned by GetSegmentDetection.
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SegmentTypeInfo
-
Information about the type of a segment requested in a call to
StartSegmentDetection. An array of
SegmentTypeInfo
objects is returned by the response from GetSegmentDetection.
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ShotSegment
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Information about a shot detection segment detected in a video. For more
information, see SegmentDetection.
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Smile
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Indicates whether or not the face is smiling, and the confidence level in
the determination.
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StartCelebrityRecognitionResponse
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StartContentModerationResponse
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StartFaceDetectionResponse
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StartFaceSearchResponse
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StartLabelDetectionResponse
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StartPersonTrackingResponse
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StartProjectVersionResponse
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StartSegmentDetectionFilters
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Filters applied to the technical cue or shot detection segments. For more
information, see StartSegmentDetection.
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StartSegmentDetectionResponse
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StartShotDetectionFilter
-
Filters for the shot detection segments returned by
GetSegmentDetection
. For more information, see
StartSegmentDetectionFilters.
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StartStreamProcessorResponse
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StartTechnicalCueDetectionFilter
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Filters for the technical segments returned by GetSegmentDetection.
For more information, see StartSegmentDetectionFilters.
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StartTextDetectionFilters
-
Set of optional parameters that let you set the criteria text must meet to
be included in your response.
WordFilter
looks at a word's
height, width and minimum confidence. RegionOfInterest
lets you
set a specific region of the screen to look for text in.
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StartTextDetectionResponse
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StopProjectVersionResponse
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StopStreamProcessorResponse
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StreamProcessor
-
An object that recognizes faces in a streaming video. An Amazon Rekognition
stream processor is created by a call to CreateStreamProcessor. The
request parameters for
CreateStreamProcessor
describe the
Kinesis video stream source for the streaming video, face recognition
parameters, and where to stream the analysis resullts.
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StreamProcessorInput
-
Information about the source streaming video.
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StreamProcessorOutput
-
Information about the Amazon Kinesis Data Streams stream to which a Amazon
Rekognition Video stream processor streams the results of a video analysis.
For more information, see CreateStreamProcessor in the Amazon Rekognition
Developer Guide.
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StreamProcessorSettings
-
Input parameters used to recognize faces in a streaming video analyzed by a
Amazon Rekognition stream processor.
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Summary
-
The S3 bucket that contains the training summary. The training summary
includes aggregated evaluation metrics for the entire testing dataset and
metrics for each individual label.
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Sunglasses
-
Indicates whether or not the face is wearing sunglasses, and the confidence
level in the determination.
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TechnicalCueSegment
-
Information about a technical cue segment. For more information, see
SegmentDetection.
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TestingData
-
The dataset used for testing. Optionally, if
AutoCreate
is set,
Amazon Rekognition Custom Labels creates a testing dataset using an 80/20
split of the training dataset.
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TestingDataResult
-
Sagemaker Groundtruth format manifest files for the input, output and
validation datasets that are used and created during testing.
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TextDetection
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Information about a word or line of text detected by DetectText.
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TextDetectionResult
-
Information about text detected in a video. Incudes the detected text, the
time in milliseconds from the start of the video that the text was detected,
and where it was detected on the screen.
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TrainingData
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The dataset used for training.
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TrainingDataResult
-
Sagemaker Groundtruth format manifest files for the input, output and
validation datasets that are used and created during testing.
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UnindexedFace
-
A face that IndexFaces detected, but didn't index. Use the
Reasons
response attribute to determine why a face wasn't
indexed.
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ValidationData
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Contains the Amazon S3 bucket location of the validation data for a model
training job.
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Video
-
Video file stored in an Amazon S3 bucket. Amazon Rekognition video start
operations such as StartLabelDetection use
Video
to
specify a video for analysis. The supported file formats are .mp4, .mov and
.avi.
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VideoMetadata
-
Information about a video that Amazon Rekognition analyzed.
Videometadata
is returned in every page of paginated responses
from a Amazon Rekognition video operation.