See: Description
| Class | Description |
|---|---|
| AgeRange |
Structure containing the estimated age range, in years, for a face.
|
| Asset |
Assets are the images that you use to train and evaluate a model version.
|
| AudioMetadata |
Metadata information about an audio stream.
|
| Beard |
Indicates whether or not the face has a beard, and the confidence level in
the determination.
|
| BoundingBox |
Identifies the bounding box around the label, face, text or personal
protective equipment.
|
| Celebrity |
Provides information about a celebrity recognized by the
RecognizeCelebrities operation.
|
| CelebrityDetail |
Information about a recognized celebrity.
|
| CelebrityRecognition |
Information about a detected celebrity and the time the celebrity was
detected in a stored video.
|
| ComparedFace |
Provides face metadata for target image faces that are analyzed by
CompareFaces and RecognizeCelebrities. |
| ComparedSourceImageFace |
Type that describes the face Amazon Rekognition chose to compare with the
faces in the target.
|
| CompareFacesMatch |
Provides information about a face in a target image that matches the source
image face analyzed by
CompareFaces. |
| CompareFacesRequest |
Compares a face in the source input image with each of the 100 largest
faces detected in the target input image.
|
| CompareFacesResult | |
| ContentModerationDetection |
Information about an unsafe content label detection in a stored video.
|
| CoversBodyPart |
Information about an item of Personal Protective Equipment covering a
corresponding body part.
|
| CreateCollectionRequest |
Creates a collection in an AWS Region.
|
| CreateCollectionResult | |
| CreateProjectRequest |
Creates a new Amazon Rekognition Custom Labels project.
|
| CreateProjectResult | |
| CreateProjectVersionRequest |
Creates a new version of a model and begins training.
|
| CreateProjectVersionResult | |
| CreateStreamProcessorRequest |
Creates an Amazon Rekognition stream processor that you can use to detect and
recognize faces in a streaming video.
|
| CreateStreamProcessorResult | |
| CustomLabel |
A custom label detected in an image by a call to DetectCustomLabels.
|
| DeleteCollectionRequest |
Deletes the specified collection.
|
| DeleteCollectionResult | |
| DeleteFacesRequest |
Deletes faces from a collection.
|
| DeleteFacesResult | |
| DeleteProjectRequest |
Deletes an Amazon Rekognition Custom Labels project.
|
| DeleteProjectResult | |
| DeleteProjectVersionRequest |
Deletes an Amazon Rekognition Custom Labels model.
|
| DeleteProjectVersionResult | |
| DeleteStreamProcessorRequest |
Deletes the stream processor identified by
Name. |
| DeleteStreamProcessorResult | |
| DescribeCollectionRequest |
Describes the specified collection.
|
| DescribeCollectionResult | |
| DescribeProjectsRequest |
Lists and gets information about your Amazon Rekognition Custom Labels
projects.
|
| DescribeProjectsResult | |
| DescribeProjectVersionsRequest |
Lists and describes the models in an Amazon Rekognition Custom Labels
project.
|
| DescribeProjectVersionsResult | |
| DescribeStreamProcessorRequest |
Provides information about a stream processor created by
CreateStreamProcessor.
|
| DescribeStreamProcessorResult | |
| DetectCustomLabelsRequest |
Detects custom labels in a supplied image by using an Amazon Rekognition
Custom Labels model.
|
| DetectCustomLabelsResult | |
| DetectFacesRequest |
Detects faces within an image that is provided as input.
|
| DetectFacesResult | |
| DetectionFilter |
A set of parameters that allow you to filter out certain results from your
returned results.
|
| DetectLabelsRequest |
Detects instances of real-world entities within an image (JPEG or PNG)
provided as input.
|
| DetectLabelsResult | |
| DetectModerationLabelsRequest |
Detects unsafe content in a specified JPEG or PNG format image.
|
| DetectModerationLabelsResult | |
| DetectProtectiveEquipmentRequest |
Detects Personal Protective Equipment (PPE) worn by people detected in an
image.
|
| DetectProtectiveEquipmentResult | |
| 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.
|
| DetectTextRequest |
Detects text in the input image and converts it into machine-readable text.
|
| DetectTextResult | |
| Emotion |
The emotions that appear to be expressed on the face, and the confidence
level in the determination.
|
| EquipmentDetection |
Information about an item of Personal Protective Equipment (PPE) detected by
DetectProtectiveEquipment.
|
| EvaluationResult |
The evaluation results for the training of a model.
|
| Eyeglasses |
Indicates whether or not the face is wearing eye glasses, and the confidence
level in the determination.
|
| EyeOpen |
Indicates whether or not the eyes on the face are open, and the confidence
level in the determination.
|
| 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.
|
| FaceDetail |
Structure containing attributes of the face that the algorithm detected.
|
| FaceDetection |
Information about a face detected in a video analysis request and the time
the face was detected in the video.
|
| FaceMatch |
Provides face metadata.
|
| FaceRecord |
Object containing both the face metadata (stored in the backend database),
and facial attributes that are detected but aren't stored in the database.
|
| FaceSearchSettings |
Input face recognition parameters for an Amazon Rekognition stream processor.
|
| Gender |
The predicted gender of a detected face.
|
| Geometry |
Information about where an object (DetectCustomLabels) or text
(DetectText) is located on an image.
|
| GetCelebrityInfoRequest |
Gets the name and additional information about a celebrity based on his or
her Amazon Rekognition ID.
|
| GetCelebrityInfoResult | |
| GetCelebrityRecognitionRequest |
Gets the celebrity recognition results for a Amazon Rekognition Video
analysis started by StartCelebrityRecognition.
|
| GetCelebrityRecognitionResult | |
| GetContentModerationRequest |
Gets the unsafe content analysis results for a Amazon Rekognition Video
analysis started by StartContentModeration.
|
| GetContentModerationResult | |
| GetFaceDetectionRequest |
Gets face detection results for a Amazon Rekognition Video analysis started
by StartFaceDetection.
|
| GetFaceDetectionResult | |
| GetFaceSearchRequest |
Gets the face search results for Amazon Rekognition Video face search started
by StartFaceSearch.
|
| GetFaceSearchResult | |
| GetLabelDetectionRequest |
Gets the label detection results of a Amazon Rekognition Video analysis
started by StartLabelDetection.
|
| GetLabelDetectionResult | |
| GetPersonTrackingRequest |
Gets the path tracking results of a Amazon Rekognition Video analysis started
by StartPersonTracking.
|
| GetPersonTrackingResult | |
| GetSegmentDetectionRequest |
Gets the segment detection results of a Amazon Rekognition Video analysis
started by StartSegmentDetection.
|
| GetSegmentDetectionResult | |
| GetTextDetectionRequest |
Gets the text detection results of a Amazon Rekognition Video analysis
started by StartTextDetection.
|
| GetTextDetectionResult | |
| GroundTruthManifest |
The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest
file.
|
| HumanLoopActivationOutput |
Shows the results of the human in the loop evaluation.
|
| HumanLoopConfig |
Sets up the flow definition the image will be sent to if one of the
conditions is met.
|
| HumanLoopDataAttributes |
Allows you to set attributes of the image.
|
| Image |
Provides the input image either as bytes or an S3 object.
|
| ImageQuality |
Identifies face image brightness and sharpness.
|
| IndexFacesRequest |
Detects faces in the input image and adds them to the specified collection.
|
| IndexFacesResult | |
| Instance |
An instance of a label returned by Amazon Rekognition Image
(DetectLabels) or by Amazon Rekognition Video
(GetLabelDetection).
|
| KinesisDataStream |
The Kinesis data stream Amazon Rekognition to which the analysis results of a
Amazon Rekognition stream processor are streamed.
|
| KinesisVideoStream |
Kinesis video stream stream that provides the source streaming video for a
Amazon Rekognition Video stream processor.
|
| Label |
Structure containing details about the detected label, including the name,
detected instances, parent labels, and level of confidence.
|
| LabelDetection |
Information about a label detected in a video analysis request and the time
the label was detected in the video.
|
| Landmark |
Indicates the location of the landmark on the face.
|
| ListCollectionsRequest |
Returns list of collection IDs in your account.
|
| ListCollectionsResult | |
| ListFacesRequest |
Returns metadata for faces in the specified collection.
|
| ListFacesResult | |
| ListStreamProcessorsRequest |
Gets a list of stream processors that you have created with
CreateStreamProcessor.
|
| ListStreamProcessorsResult | |
| ModerationLabel |
Provides information about a single type of unsafe content found in an image
or video.
|
| MouthOpen |
Indicates whether or not the mouth on the face is open, and the confidence
level in the determination.
|
| Mustache |
Indicates whether or not the face has a mustache, and the confidence level in
the determination.
|
| NotificationChannel |
The Amazon Simple Notification Service topic to which Amazon Rekognition
publishes the completion status of a video analysis operation.
|
| OutputConfig |
The S3 bucket and folder location where training output is placed.
|
| Parent |
A parent label for a label.
|
| PersonDetail |
Details about a person detected in a video analysis request.
|
| PersonDetection |
Details and path tracking information for a single time a person's path is
tracked in a video.
|
| PersonMatch |
Information about a person whose face matches a face(s) in an Amazon
Rekognition collection.
|
| Point |
The X and Y coordinates of a point on an image.
|
| Pose |
Indicates the pose of the face as determined by its pitch, roll, and yaw.
|
| ProjectDescription |
A description of a Amazon Rekognition Custom Labels project.
|
| ProjectVersionDescription |
The description of a version of a model.
|
| ProtectiveEquipmentBodyPart |
Information about a body part detected by DetectProtectiveEquipment
that contains PPE.
|
| ProtectiveEquipmentPerson |
A person detected by a call to DetectProtectiveEquipment.
|
| ProtectiveEquipmentSummarizationAttributes |
Specifies summary attributes to return from a call to
DetectProtectiveEquipment.
|
| ProtectiveEquipmentSummary |
Summary information for required items of personal protective equipment (PPE)
detected on persons by a call to DetectProtectiveEquipment.
|
| RecognizeCelebritiesRequest |
Returns an array of celebrities recognized in the input image.
|
| RecognizeCelebritiesResult | |
| RegionOfInterest |
Specifies a location within the frame that Rekognition checks for text.
|
| S3Object |
Provides the S3 bucket name and object name.
|
| SearchFacesByImageRequest |
For a given input image, first detects the largest face in the image, and
then searches the specified collection for matching faces.
|
| SearchFacesByImageResult | |
| SearchFacesRequest |
For a given input face ID, searches for matching faces in the collection the
face belongs to.
|
| SearchFacesResult | |
| Section | |
| SegmentDetection |
A technical cue or shot detection segment detected in a video.
|
| SegmentTypeInfo |
Information about the type of a segment requested in a call to
StartSegmentDetection.
|
| ShotSegment |
Information about a shot detection segment detected in a video.
|
| Smile |
Indicates whether or not the face is smiling, and the confidence level in the
determination.
|
| StartCelebrityRecognitionRequest |
Starts asynchronous recognition of celebrities in a stored video.
|
| StartCelebrityRecognitionResult | |
| StartContentModerationRequest |
Starts asynchronous detection of unsafe content in a stored video.
|
| StartContentModerationResult | |
| StartFaceDetectionRequest |
Starts asynchronous detection of faces in a stored video.
|
| StartFaceDetectionResult | |
| StartFaceSearchRequest |
Starts the asynchronous search for faces in a collection that match the faces
of persons detected in a stored video.
|
| StartFaceSearchResult | |
| StartLabelDetectionRequest |
Starts asynchronous detection of labels in a stored video.
|
| StartLabelDetectionResult | |
| StartPersonTrackingRequest |
Starts the asynchronous tracking of a person's path in a stored video.
|
| StartPersonTrackingResult | |
| StartProjectVersionRequest |
Starts the running of the version of a model.
|
| StartProjectVersionResult | |
| StartSegmentDetectionFilters |
Filters applied to the technical cue or shot detection segments.
|
| StartSegmentDetectionRequest |
Starts asynchronous detection of segment detection in a stored video.
|
| StartSegmentDetectionResult | |
| StartShotDetectionFilter |
Filters for the shot detection segments returned by
GetSegmentDetection. |
| StartStreamProcessorRequest |
Starts processing a stream processor.
|
| StartStreamProcessorResult | |
| StartTechnicalCueDetectionFilter |
Filters for the technical segments returned by GetSegmentDetection.
|
| StartTextDetectionFilters |
Set of optional parameters that let you set the criteria text must meet to be
included in your response.
|
| StartTextDetectionRequest |
Starts asynchronous detection of text in a stored video.
|
| StartTextDetectionResult | |
| StopProjectVersionRequest |
Stops a running model.
|
| StopProjectVersionResult | |
| StopStreamProcessorRequest |
Stops a running stream processor that was created by
CreateStreamProcessor.
|
| StopStreamProcessorResult | |
| StreamProcessor |
An object that recognizes faces in a streaming video.
|
| StreamProcessorInput |
Information about the source streaming video.
|
| StreamProcessorOutput |
Information about the Amazon Kinesis Data Streams stream to which a Amazon
Rekognition Video stream processor streams the results of a video analysis.
|
| StreamProcessorSettings |
Input parameters used to recognize faces in a streaming video analyzed by a
Amazon Rekognition stream processor.
|
| Summary |
The S3 bucket that contains the training summary.
|
| Sunglasses |
Indicates whether or not the face is wearing sunglasses, and the confidence
level in the determination.
|
| TechnicalCueSegment |
Information about a technical cue segment.
|
| TestingData |
The dataset used for testing.
|
| TestingDataResult |
Sagemaker Groundtruth format manifest files for the input, output and
validation datasets that are used and created during testing.
|
| TextDetection |
Information about a word or line of text detected by DetectText.
|
| TextDetectionResult |
Information about text detected in a video.
|
| TrainingData |
The dataset used for training.
|
| TrainingDataResult |
Sagemaker Groundtruth format manifest files for the input, output and
validation datasets that are used and created during testing.
|
| UnindexedFace |
A face that IndexFaces detected, but didn't index.
|
| ValidationData |
Contains the Amazon S3 bucket location of the validation data for a model
training job.
|
| Video |
Video file stored in an Amazon S3 bucket.
|
| VideoMetadata |
Information about a video that Amazon Rekognition analyzed.
|
| Warning |
| Enum | Description |
|---|---|
| Attribute |
Attribute
|
| BodyPart |
Body Part
|
| CelebrityRecognitionSortBy |
Celebrity Recognition Sort By
|
| ContentClassifier |
Content Classifier
|
| ContentModerationSortBy |
Content Moderation Sort By
|
| EmotionName |
Emotion Name
|
| FaceAttributes |
Face Attributes
|
| FaceSearchSortBy |
Face Search Sort By
|
| GenderType |
Gender Type
|
| LabelDetectionSortBy |
Label Detection Sort By
|
| LandmarkType |
Landmark Type
|
| OrientationCorrection |
Orientation Correction
|
| PersonTrackingSortBy |
Person Tracking Sort By
|
| ProjectStatus |
Project Status
|
| ProjectVersionStatus |
Project Version Status
|
| ProtectiveEquipmentType |
Protective Equipment Type
|
| QualityFilter |
Quality Filter
|
| Reason |
Reason
|
| SegmentType |
Segment Type
|
| StreamProcessorStatus |
Stream Processor Status
|
| TechnicalCueType |
Technical Cue Type
|
| TextTypes |
Text Types
|
| VideoJobStatus |
Video Job Status
|
| Exception | Description |
|---|---|
| AccessDeniedException |
You are not authorized to perform the action.
|
| HumanLoopQuotaExceededException |
The number of in-progress human reviews you have has exceeded the number
allowed.
|
| IdempotentParameterMismatchException |
A
ClientRequestToken input parameter was reused with an
operation, but at least one of the other input parameters is different from
the previous call to the operation. |
| ImageTooLargeException |
The input image size exceeds the allowed limit.
|
| InternalServerErrorException |
Amazon Rekognition experienced a service issue.
|
| InvalidImageFormatException |
The provided image format is not supported.
|
| InvalidPaginationTokenException |
Pagination token in the request is not valid.
|
| InvalidParameterException |
Input parameter violated a constraint.
|
| InvalidS3ObjectException |
Amazon Rekognition is unable to access the S3 object specified in the
request.
|
| LimitExceededException |
An Amazon Rekognition service limit was exceeded.
|
| ProvisionedThroughputExceededException |
The number of requests exceeded your throughput limit.
|
| ResourceAlreadyExistsException |
A collection with the specified ID already exists.
|
| ResourceInUseException |
The specified resource is already being used.
|
| ResourceNotFoundException |
The collection specified in the request cannot be found.
|
| ResourceNotReadyException |
The requested resource isn't ready.
|
| ServiceQuotaExceededException |
|
| ThrottlingException |
Amazon Rekognition is temporarily unable to process the request.
|
| VideoTooLargeException |
The file size or duration of the supplied media is too large.
|
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