Package software.amazon.awssdk.services.rekognition.model
package software.amazon.awssdk.services.rekognition.model
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ClassDescriptionYou are not authorized to perform the action.Structure containing the estimated age range, in years, for a face.Assets are the images that you use to train and evaluate a model version.Provides face metadata for the faces that are associated to a specific UserID.Metadata information about an audio stream.An image that is picked from the Face Liveness video and returned for audit trail purposes, returned as Base64-encoded bytes.Indicates whether or not the face has a beard, and the confidence level in the determination.A filter that allows you to control the black frame detection by specifying the black levels and pixel coverage of black pixels in a frame.Identifies the bounding box around the label, face, text, object of interest, or personal protective equipment.Provides information about a celebrity recognized by the RecognizeCelebrities operation.Information about a recognized celebrity.Information about a detected celebrity and the time the celebrity was detected in a stored video.Provides face metadata for target image faces that are analyzed by
CompareFaces
andRecognizeCelebrities
.Type that describes the face Amazon Rekognition chose to compare with the faces in the target.Provides information about a face in a target image that matches the source image face analyzed byCompareFaces
.A User with the same Id already exists within the collection, or the update or deletion of the User caused an inconsistent state.Label detection settings to use on a streaming video.The label detection settings you want to use in your stream processor.Information about an inappropriate, unwanted, or offensive content label detection in a stored video.Contains information regarding the confidence and name of a detected content type.Information about an item of Personal Protective Equipment covering a corresponding body part.A session settings object.Feature specific configuration for the training job.Configuration options for Content Moderation training.A custom label detected in an image by a call to DetectCustomLabels.Describes updates or additions to a dataset.A description for a dataset.Describes a dataset label.Statistics about a label used in a dataset.Summary information for an Amazon Rekognition Custom Labels dataset.The source that Amazon Rekognition Custom Labels uses to create a dataset.Provides statistics about a dataset.A set of parameters that allow you to filter out certain results from your returned results.The background of the image with regard to image quality and dominant colors.The foreground of the image with regard to image quality and dominant colors.Information about the quality and dominant colors of an input image.Settings for the IMAGE_PROPERTIES feature type.The quality of an image provided for label detection, with regard to brightness, sharpness, and contrast.Settings for the DetectLabels request.A set of optional parameters that you can use to set the criteria that the text must meet to be included in your response.Provides face metadata for the faces that are disassociated from a specific UserID.A training dataset or a test dataset used in a dataset distribution operation.A description of the dominant colors in an image.The emotions that appear to be expressed on the face, and the confidence level in the determination.Information about an item of Personal Protective Equipment (PPE) detected by DetectProtectiveEquipment.The evaluation results for the training of a model.Indicates the direction the eyes are gazing in (independent of the head pose) as determined by its pitch and yaw.Indicates whether or not the face is wearing eye glasses, and the confidence level in the determination.Indicates whether or not the eyes on the face are open, and the confidence level in the determination.Describes the face properties such as the bounding box, face ID, image ID of the input image, and external image ID that you assigned.Structure containing attributes of the face that the algorithm detected.Information about a face detected in a video analysis request and the time the face was detected in the video.Provides face metadata.FaceOccluded
should return "true" with a high confidence score if a detected face’s eyes, nose, and mouth are partially captured or if they are covered by masks, dark sunglasses, cell phones, hands, or other objects.Object containing both the face metadata (stored in the backend database), and facial attributes that are detected but aren't stored in the database.Input face recognition parameters for an Amazon Rekognition stream processor.The predicted gender of a detected face.Contains filters for the object labels returned by DetectLabels.Information about where an object (DetectCustomLabels) or text (DetectText) is located on an image.Contains metadata about a content moderation request, including the SortBy and AggregateBy options.Contains metadata about a label detection request, including the SortBy and AggregateBy options.The S3 bucket that contains an Amazon Sagemaker Ground Truth format manifest file.Shows the results of the human in the loop evaluation.Sets up the flow definition the image will be sent to if one of the conditions is met.Allows you to set attributes of the image.The number of in-progress human reviews you have has exceeded the number allowed.AClientRequestToken
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.Provides the input image either as bytes or an S3 object.Identifies face image brightness and sharpness.The input image size exceeds the allowed limit.An instance of a label returned by Amazon Rekognition Image (DetectLabels) or by Amazon Rekognition Video (GetLabelDetection).Amazon Rekognition experienced a service issue.The provided image format is not supported.Indicates that a provided manifest file is empty or larger than the allowed limit.Pagination token in the request is not valid.Input parameter violated a constraint.The supplied revision id for the project policy is invalid.Amazon Rekognition is unable to access the S3 object specified in the request.The Kinesis data stream Amazon Rekognition to which the analysis results of a Amazon Rekognition stream processor are streamed.Kinesis video stream stream that provides the source streaming video for a Amazon Rekognition Video stream processor.Specifies the starting point in a Kinesis stream to start processing.The known gender identity for the celebrity that matches the provided ID.A list of enum string of possible gender values that Celebrity returns.Structure containing details about the detected label, including the name, detected instances, parent labels, and level of confidence.A potential alias of for a given label.The category that applies to a given label.Information about a label detected in a video analysis request and the time the label was detected in the video.Contains the specified filters that should be applied to a list of returned GENERAL_LABELS.Indicates the location of the landmark on the face.An Amazon Rekognition service limit was exceeded.Contains settings that specify the location of an Amazon S3 bucket used to store the output of a Face Liveness session.The format of the project policy document that you supplied toPutProjectPolicy
is incorrect.Contains metadata for a UserID matched with a given face.Configuration for Moderation Labels Detection.Contains input information for a media analysis job.Description for a media analysis job.Details about the error that resulted in failure of the job.Summary that provides statistics on input manifest and errors identified in the input manifest.Object containing information about the model versions of selected features in a given job.Configuration options for a media analysis job.Output configuration provided in the job creation request.Contains the results for a media analysis job created with StartMediaAnalysisJob.Provides information about a single type of inappropriate, unwanted, or offensive content found in an image or video.Indicates whether or not the mouth on the face is open, and the confidence level in the determination.Indicates whether or not the face has a mustache, and the confidence level in the determination.The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the completion status of a video analysis operation.The S3 bucket and folder location where training output is placed.A parent label for a label.Details about a person detected in a video analysis request.Details and path tracking information for a single time a person's path is tracked in a video.Information about a person whose face matches a face(s) in an Amazon Rekognition collection.The X and Y coordinates of a point on an image or video frame.Indicates the pose of the face as determined by its pitch, roll, and yaw.A description of an Amazon Rekognition Custom Labels project.Describes a project policy in the response from ListProjectPolicies.A description of a version of a Amazon Rekognition project version.Information about a body part detected by DetectProtectiveEquipment that contains PPE.A person detected by a call to DetectProtectiveEquipment.Specifies summary attributes to return from a call to DetectProtectiveEquipment.Summary information for required items of personal protective equipment (PPE) detected on persons by a call to DetectProtectiveEquipment.The number of requests exceeded your throughput limit.Specifies a location within the frame that Rekognition checks for objects of interest such as text, labels, or faces.A resource with the specified ID already exists.The specified resource is already being used.The resource specified in the request cannot be found.The requested resource isn't ready.The Amazon S3 bucket location to which Amazon Rekognition publishes the detailed inference results of a video analysis operation.Provides the S3 bucket name and object name.Provides face metadata such as FaceId, BoundingBox, Confidence of the input face used for search.Contains data regarding the input face used for a search.Contains metadata about a User searched for within a collection.A technical cue or shot detection segment detected in a video.Information about the type of a segment requested in a call to StartSegmentDetection.Occurs when a given sessionId is not found.Information about a shot detection segment detected in a video.Indicates whether or not the face is smiling, and the confidence level in the determination.Filters applied to the technical cue or shot detection segments.Filters for the shot detection segments returned byGetSegmentDetection
.Filters for the technical segments returned by GetSegmentDetection.Set of optional parameters that let you set the criteria text must meet to be included in your response.This is a required parameter for label detection stream processors and should not be used to start a face search stream processor.Specifies when to stop processing the stream.An object that recognizes faces or labels in a streaming video.Allows you to opt in or opt out to share data with Rekognition to improve model performance.Information about the source streaming video.The Amazon Simple Notification Service topic to which Amazon Rekognition publishes the object detection results and completion status of a video analysis operation.Information about the Amazon Kinesis Data Streams stream to which a Amazon Rekognition Video stream processor streams the results of a video analysis.Input parameters used in a streaming video analyzed by a Amazon Rekognition stream processor.The stream processor settings that you want to update.The S3 bucket that contains the training summary.Indicates whether or not the face is wearing sunglasses, and the confidence level in the determination.Information about a technical cue segment.The dataset used for testing.Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing.Information about a word or line of text detected by DetectText.Information about text detected in a video.Amazon Rekognition is temporarily unable to process the request.The dataset used for training.The data validation manifest created for the training dataset during model training.A face that IndexFaces detected, but didn't index.Face details inferred from the image but not used for search.Contains metadata like FaceId, UserID, and Reasons, for a face that was unsuccessfully associated.Contains metadata like FaceId, UserID, and Reasons, for a face that was unsuccessfully deleted.Contains metadata like FaceId, UserID, and Reasons, for a face that was unsuccessfully disassociated.Metadata of the user stored in a collection.Provides UserID metadata along with the confidence in the match of this UserID with the input face.Contains the Amazon S3 bucket location of the validation data for a model training job.Video file stored in an Amazon S3 bucket.Information about a video that Amazon Rekognition analyzed.The file size or duration of the supplied media is too large.