@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public interface AmazonRekognitionAsync extends AmazonRekognition
AsyncHandler can be used to receive
notification when an asynchronous operation completes.
Note: Do not directly implement this interface, new methods are added to it regularly. Extend from
AbstractAmazonRekognitionAsync instead.
This is the Amazon Rekognition API reference.
ENDPOINT_PREFIX| Modifier and Type | Method and Description |
|---|---|
Future<CompareFacesResult> |
compareFacesAsync(CompareFacesRequest compareFacesRequest)
Compares a face in the source input image with each face detected in the target input image.
|
Future<CompareFacesResult> |
compareFacesAsync(CompareFacesRequest compareFacesRequest,
AsyncHandler<CompareFacesRequest,CompareFacesResult> asyncHandler)
Compares a face in the source input image with each face detected in the target input image.
|
Future<CreateCollectionResult> |
createCollectionAsync(CreateCollectionRequest createCollectionRequest)
Creates a collection in an AWS Region.
|
Future<CreateCollectionResult> |
createCollectionAsync(CreateCollectionRequest createCollectionRequest,
AsyncHandler<CreateCollectionRequest,CreateCollectionResult> asyncHandler)
Creates a collection in an AWS Region.
|
Future<DeleteCollectionResult> |
deleteCollectionAsync(DeleteCollectionRequest deleteCollectionRequest)
Deletes the specified collection.
|
Future<DeleteCollectionResult> |
deleteCollectionAsync(DeleteCollectionRequest deleteCollectionRequest,
AsyncHandler<DeleteCollectionRequest,DeleteCollectionResult> asyncHandler)
Deletes the specified collection.
|
Future<DeleteFacesResult> |
deleteFacesAsync(DeleteFacesRequest deleteFacesRequest)
Deletes faces from a collection.
|
Future<DeleteFacesResult> |
deleteFacesAsync(DeleteFacesRequest deleteFacesRequest,
AsyncHandler<DeleteFacesRequest,DeleteFacesResult> asyncHandler)
Deletes faces from a collection.
|
Future<DetectFacesResult> |
detectFacesAsync(DetectFacesRequest detectFacesRequest)
Detects faces within an image (JPEG or PNG) that is provided as input.
|
Future<DetectFacesResult> |
detectFacesAsync(DetectFacesRequest detectFacesRequest,
AsyncHandler<DetectFacesRequest,DetectFacesResult> asyncHandler)
Detects faces within an image (JPEG or PNG) that is provided as input.
|
Future<DetectLabelsResult> |
detectLabelsAsync(DetectLabelsRequest detectLabelsRequest)
Detects instances of real-world labels within an image (JPEG or PNG) provided as input.
|
Future<DetectLabelsResult> |
detectLabelsAsync(DetectLabelsRequest detectLabelsRequest,
AsyncHandler<DetectLabelsRequest,DetectLabelsResult> asyncHandler)
Detects instances of real-world labels within an image (JPEG or PNG) provided as input.
|
Future<DetectModerationLabelsResult> |
detectModerationLabelsAsync(DetectModerationLabelsRequest detectModerationLabelsRequest)
Detects explicit or suggestive adult content in a specified JPEG or PNG format image.
|
Future<DetectModerationLabelsResult> |
detectModerationLabelsAsync(DetectModerationLabelsRequest detectModerationLabelsRequest,
AsyncHandler<DetectModerationLabelsRequest,DetectModerationLabelsResult> asyncHandler)
Detects explicit or suggestive adult content in a specified JPEG or PNG format image.
|
Future<GetCelebrityInfoResult> |
getCelebrityInfoAsync(GetCelebrityInfoRequest getCelebrityInfoRequest)
Gets the name and additional information about a celebrity based on his or her Rekognition ID.
|
Future<GetCelebrityInfoResult> |
getCelebrityInfoAsync(GetCelebrityInfoRequest getCelebrityInfoRequest,
AsyncHandler<GetCelebrityInfoRequest,GetCelebrityInfoResult> asyncHandler)
Gets the name and additional information about a celebrity based on his or her Rekognition ID.
|
Future<IndexFacesResult> |
indexFacesAsync(IndexFacesRequest indexFacesRequest)
Detects faces in the input image and adds them to the specified collection.
|
Future<IndexFacesResult> |
indexFacesAsync(IndexFacesRequest indexFacesRequest,
AsyncHandler<IndexFacesRequest,IndexFacesResult> asyncHandler)
Detects faces in the input image and adds them to the specified collection.
|
Future<ListCollectionsResult> |
listCollectionsAsync(ListCollectionsRequest listCollectionsRequest)
Returns list of collection IDs in your account.
|
Future<ListCollectionsResult> |
listCollectionsAsync(ListCollectionsRequest listCollectionsRequest,
AsyncHandler<ListCollectionsRequest,ListCollectionsResult> asyncHandler)
Returns list of collection IDs in your account.
|
Future<ListFacesResult> |
listFacesAsync(ListFacesRequest listFacesRequest)
Returns metadata for faces in the specified collection.
|
Future<ListFacesResult> |
listFacesAsync(ListFacesRequest listFacesRequest,
AsyncHandler<ListFacesRequest,ListFacesResult> asyncHandler)
Returns metadata for faces in the specified collection.
|
Future<RecognizeCelebritiesResult> |
recognizeCelebritiesAsync(RecognizeCelebritiesRequest recognizeCelebritiesRequest)
Returns an array of celebrities recognized in the input image.
|
Future<RecognizeCelebritiesResult> |
recognizeCelebritiesAsync(RecognizeCelebritiesRequest recognizeCelebritiesRequest,
AsyncHandler<RecognizeCelebritiesRequest,RecognizeCelebritiesResult> asyncHandler)
Returns an array of celebrities recognized in the input image.
|
Future<SearchFacesResult> |
searchFacesAsync(SearchFacesRequest searchFacesRequest)
For a given input face ID, searches for matching faces in the collection the face belongs to.
|
Future<SearchFacesResult> |
searchFacesAsync(SearchFacesRequest searchFacesRequest,
AsyncHandler<SearchFacesRequest,SearchFacesResult> asyncHandler)
For a given input face ID, searches for matching faces in the collection the face belongs to.
|
Future<SearchFacesByImageResult> |
searchFacesByImageAsync(SearchFacesByImageRequest searchFacesByImageRequest)
For a given input image, first detects the largest face in the image, and then searches the specified collection
for matching faces.
|
Future<SearchFacesByImageResult> |
searchFacesByImageAsync(SearchFacesByImageRequest searchFacesByImageRequest,
AsyncHandler<SearchFacesByImageRequest,SearchFacesByImageResult> asyncHandler)
For a given input image, first detects the largest face in the image, and then searches the specified collection
for matching faces.
|
compareFaces, createCollection, deleteCollection, deleteFaces, detectFaces, detectLabels, detectModerationLabels, getCachedResponseMetadata, getCelebrityInfo, indexFaces, listCollections, listFaces, recognizeCelebrities, searchFaces, searchFacesByImage, setEndpoint, setRegion, shutdownFuture<CompareFacesResult> compareFacesAsync(CompareFacesRequest compareFacesRequest)
Compares a face in the source input image with each face detected in the target input image.
If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image.
In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match.
By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You
can change this value by specifying the SimilarityThreshold parameter.
CompareFaces also returns an array of faces that don't match the source image. For each face, it
returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns
information about the face in the source image, including the bounding box of the face and confidence value.
If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the
source and target images. Use these values to display the images with the correct image orientation.
This is a stateless API operation. That is, data returned by this operation doesn't persist.
For an example, see get-started-exercise-compare-faces.
This operation requires permissions to perform the rekognition:CompareFaces action.
compareFacesRequest - Future<CompareFacesResult> compareFacesAsync(CompareFacesRequest compareFacesRequest, AsyncHandler<CompareFacesRequest,CompareFacesResult> asyncHandler)
Compares a face in the source input image with each face detected in the target input image.
If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image.
In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match.
By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You
can change this value by specifying the SimilarityThreshold parameter.
CompareFaces also returns an array of faces that don't match the source image. For each face, it
returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns
information about the face in the source image, including the bounding box of the face and confidence value.
If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the
source and target images. Use these values to display the images with the correct image orientation.
This is a stateless API operation. That is, data returned by this operation doesn't persist.
For an example, see get-started-exercise-compare-faces.
This operation requires permissions to perform the rekognition:CompareFaces action.
compareFacesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<CreateCollectionResult> createCollectionAsync(CreateCollectionRequest createCollectionRequest)
Creates a collection in an AWS Region. You can add faces to the collection using the operation.
For example, you might create collections, one for each of your application users. A user can then index faces
using the IndexFaces operation and persist results in a specific collection. Then, a user can search
the collection for faces in the user-specific container.
Collection names are case-sensitive.
For an example, see example1.
This operation requires permissions to perform the rekognition:CreateCollection action.
createCollectionRequest - Future<CreateCollectionResult> createCollectionAsync(CreateCollectionRequest createCollectionRequest, AsyncHandler<CreateCollectionRequest,CreateCollectionResult> asyncHandler)
Creates a collection in an AWS Region. You can add faces to the collection using the operation.
For example, you might create collections, one for each of your application users. A user can then index faces
using the IndexFaces operation and persist results in a specific collection. Then, a user can search
the collection for faces in the user-specific container.
Collection names are case-sensitive.
For an example, see example1.
This operation requires permissions to perform the rekognition:CreateCollection action.
createCollectionRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DeleteCollectionResult> deleteCollectionAsync(DeleteCollectionRequest deleteCollectionRequest)
Deletes the specified collection. Note that this operation removes all faces in the collection. For an example, see example1.
This operation requires permissions to perform the rekognition:DeleteCollection action.
deleteCollectionRequest - Future<DeleteCollectionResult> deleteCollectionAsync(DeleteCollectionRequest deleteCollectionRequest, AsyncHandler<DeleteCollectionRequest,DeleteCollectionResult> asyncHandler)
Deletes the specified collection. Note that this operation removes all faces in the collection. For an example, see example1.
This operation requires permissions to perform the rekognition:DeleteCollection action.
deleteCollectionRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DeleteFacesResult> deleteFacesAsync(DeleteFacesRequest deleteFacesRequest)
Deletes faces from a collection. You specify a collection ID and an array of face IDs to remove from the collection.
This operation requires permissions to perform the rekognition:DeleteFaces action.
deleteFacesRequest - Future<DeleteFacesResult> deleteFacesAsync(DeleteFacesRequest deleteFacesRequest, AsyncHandler<DeleteFacesRequest,DeleteFacesResult> asyncHandler)
Deletes faces from a collection. You specify a collection ID and an array of face IDs to remove from the collection.
This operation requires permissions to perform the rekognition:DeleteFaces action.
deleteFacesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DetectFacesResult> detectFacesAsync(DetectFacesRequest detectFacesRequest)
Detects faces within an image (JPEG or PNG) that is provided as input.
For each face detected, the operation returns face details including a bounding box of the face, a confidence value (that the bounding box contains a face), and a fixed set of attributes such as facial landmarks (for example, coordinates of eye and mouth), gender, presence of beard, sunglasses, etc.
The face-detection algorithm is most effective on frontal faces. For non-frontal or obscured faces, the algorithm may not detect the faces or might detect faces with lower confidence.
This is a stateless API operation. That is, the operation does not persist any data.
For an example, see get-started-exercise-detect-faces.
This operation requires permissions to perform the rekognition:DetectFaces action.
detectFacesRequest - Future<DetectFacesResult> detectFacesAsync(DetectFacesRequest detectFacesRequest, AsyncHandler<DetectFacesRequest,DetectFacesResult> asyncHandler)
Detects faces within an image (JPEG or PNG) that is provided as input.
For each face detected, the operation returns face details including a bounding box of the face, a confidence value (that the bounding box contains a face), and a fixed set of attributes such as facial landmarks (for example, coordinates of eye and mouth), gender, presence of beard, sunglasses, etc.
The face-detection algorithm is most effective on frontal faces. For non-frontal or obscured faces, the algorithm may not detect the faces or might detect faces with lower confidence.
This is a stateless API operation. That is, the operation does not persist any data.
For an example, see get-started-exercise-detect-faces.
This operation requires permissions to perform the rekognition:DetectFaces action.
detectFacesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DetectLabelsResult> detectLabelsAsync(DetectLabelsRequest detectLabelsRequest)
Detects instances of real-world labels within an image (JPEG or PNG) provided as input. This includes objects like flower, tree, and table; events like wedding, graduation, and birthday party; and concepts like landscape, evening, and nature. For an example, see get-started-exercise-detect-labels.
For each object, scene, and concept the API returns one or more labels. Each label provides the object name, and the level of confidence that the image contains the object. For example, suppose the input image has a lighthouse, the sea, and a rock. The response will include all three labels, one for each object.
{Name: lighthouse, Confidence: 98.4629}
{Name: rock,Confidence: 79.2097}
{Name: sea,Confidence: 75.061}
In the preceding example, the operation returns one label for each of the three objects. The operation can also return multiple labels for the same object in the image. For example, if the input image shows a flower (for example, a tulip), the operation might return the following three labels.
{Name: flower,Confidence: 99.0562}
{Name: plant,Confidence: 99.0562}
{Name: tulip,Confidence: 99.0562}
In this example, the detection algorithm more precisely identifies the flower as a tulip.
You can provide the input image as an S3 object or as base64-encoded bytes. In response, the API returns an array
of labels. In addition, the response also includes the orientation correction. Optionally, you can specify
MinConfidence to control the confidence threshold for the labels returned. The default is 50%. You
can also add the MaxLabels parameter to limit the number of labels returned.
If the object detected is a person, the operation doesn't provide the same facial details that the DetectFaces operation provides.
This is a stateless API operation. That is, the operation does not persist any data.
This operation requires permissions to perform the rekognition:DetectLabels action.
detectLabelsRequest - Future<DetectLabelsResult> detectLabelsAsync(DetectLabelsRequest detectLabelsRequest, AsyncHandler<DetectLabelsRequest,DetectLabelsResult> asyncHandler)
Detects instances of real-world labels within an image (JPEG or PNG) provided as input. This includes objects like flower, tree, and table; events like wedding, graduation, and birthday party; and concepts like landscape, evening, and nature. For an example, see get-started-exercise-detect-labels.
For each object, scene, and concept the API returns one or more labels. Each label provides the object name, and the level of confidence that the image contains the object. For example, suppose the input image has a lighthouse, the sea, and a rock. The response will include all three labels, one for each object.
{Name: lighthouse, Confidence: 98.4629}
{Name: rock,Confidence: 79.2097}
{Name: sea,Confidence: 75.061}
In the preceding example, the operation returns one label for each of the three objects. The operation can also return multiple labels for the same object in the image. For example, if the input image shows a flower (for example, a tulip), the operation might return the following three labels.
{Name: flower,Confidence: 99.0562}
{Name: plant,Confidence: 99.0562}
{Name: tulip,Confidence: 99.0562}
In this example, the detection algorithm more precisely identifies the flower as a tulip.
You can provide the input image as an S3 object or as base64-encoded bytes. In response, the API returns an array
of labels. In addition, the response also includes the orientation correction. Optionally, you can specify
MinConfidence to control the confidence threshold for the labels returned. The default is 50%. You
can also add the MaxLabels parameter to limit the number of labels returned.
If the object detected is a person, the operation doesn't provide the same facial details that the DetectFaces operation provides.
This is a stateless API operation. That is, the operation does not persist any data.
This operation requires permissions to perform the rekognition:DetectLabels action.
detectLabelsRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<DetectModerationLabelsResult> detectModerationLabelsAsync(DetectModerationLabelsRequest detectModerationLabelsRequest)
Detects explicit or suggestive adult content in a specified JPEG or PNG format image. Use
DetectModerationLabels to moderate images depending on your requirements. For example, you might
want to filter images that contain nudity, but not images containing suggestive content.
To filter images, use the labels returned by DetectModerationLabels to determine which types of
content are appropriate. For information about moderation labels, see image-moderation.
detectModerationLabelsRequest - Future<DetectModerationLabelsResult> detectModerationLabelsAsync(DetectModerationLabelsRequest detectModerationLabelsRequest, AsyncHandler<DetectModerationLabelsRequest,DetectModerationLabelsResult> asyncHandler)
Detects explicit or suggestive adult content in a specified JPEG or PNG format image. Use
DetectModerationLabels to moderate images depending on your requirements. For example, you might
want to filter images that contain nudity, but not images containing suggestive content.
To filter images, use the labels returned by DetectModerationLabels to determine which types of
content are appropriate. For information about moderation labels, see image-moderation.
detectModerationLabelsRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<GetCelebrityInfoResult> getCelebrityInfoAsync(GetCelebrityInfoRequest getCelebrityInfoRequest)
Gets the name and additional information about a celebrity based on his or her Rekognition ID. The additional information is returned as an array of URLs. If there is no additional information about the celebrity, this list is empty. For more information, see celebrity-recognition.
This operation requires permissions to perform the rekognition:GetCelebrityInfo action.
getCelebrityInfoRequest - Future<GetCelebrityInfoResult> getCelebrityInfoAsync(GetCelebrityInfoRequest getCelebrityInfoRequest, AsyncHandler<GetCelebrityInfoRequest,GetCelebrityInfoResult> asyncHandler)
Gets the name and additional information about a celebrity based on his or her Rekognition ID. The additional information is returned as an array of URLs. If there is no additional information about the celebrity, this list is empty. For more information, see celebrity-recognition.
This operation requires permissions to perform the rekognition:GetCelebrityInfo action.
getCelebrityInfoRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<IndexFacesResult> indexFacesAsync(IndexFacesRequest indexFacesRequest)
Detects faces in the input image and adds them to the specified collection.
Amazon Rekognition does not save the actual faces detected. Instead, the underlying detection algorithm first detects the faces in the input image, and for each face extracts facial features into a feature vector, and stores it in the back-end database. Amazon Rekognition uses feature vectors when performing face match and search operations using the and operations.
If you provide the optional externalImageID for the input image you provided, Amazon Rekognition
associates this ID with all faces that it detects. When you call the operation, the response returns the external
ID. You can use this external image ID to create a client-side index to associate the faces with each image. You
can then use the index to find all faces in an image.
In response, the operation returns an array of metadata for all detected faces. This includes, the bounding box
of the detected face, confidence value (indicating the bounding box contains a face), a face ID assigned by the
service for each face that is detected and stored, and an image ID assigned by the service for the input image.
If you request all facial attributes (using the detectionAttributes parameter, Amazon Rekognition
returns detailed facial attributes such as facial landmarks (for example, location of eye and mount) and other
facial attributes such gender. If you provide the same image, specify the same collection, and use the same
external ID in the IndexFaces operation, Amazon Rekognition doesn't save duplicate face metadata.
For an example, see example2.
This operation requires permissions to perform the rekognition:IndexFaces action.
indexFacesRequest - Future<IndexFacesResult> indexFacesAsync(IndexFacesRequest indexFacesRequest, AsyncHandler<IndexFacesRequest,IndexFacesResult> asyncHandler)
Detects faces in the input image and adds them to the specified collection.
Amazon Rekognition does not save the actual faces detected. Instead, the underlying detection algorithm first detects the faces in the input image, and for each face extracts facial features into a feature vector, and stores it in the back-end database. Amazon Rekognition uses feature vectors when performing face match and search operations using the and operations.
If you provide the optional externalImageID for the input image you provided, Amazon Rekognition
associates this ID with all faces that it detects. When you call the operation, the response returns the external
ID. You can use this external image ID to create a client-side index to associate the faces with each image. You
can then use the index to find all faces in an image.
In response, the operation returns an array of metadata for all detected faces. This includes, the bounding box
of the detected face, confidence value (indicating the bounding box contains a face), a face ID assigned by the
service for each face that is detected and stored, and an image ID assigned by the service for the input image.
If you request all facial attributes (using the detectionAttributes parameter, Amazon Rekognition
returns detailed facial attributes such as facial landmarks (for example, location of eye and mount) and other
facial attributes such gender. If you provide the same image, specify the same collection, and use the same
external ID in the IndexFaces operation, Amazon Rekognition doesn't save duplicate face metadata.
For an example, see example2.
This operation requires permissions to perform the rekognition:IndexFaces action.
indexFacesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<ListCollectionsResult> listCollectionsAsync(ListCollectionsRequest listCollectionsRequest)
Returns list of collection IDs in your account. If the result is truncated, the response also provides a
NextToken that you can use in the subsequent request to fetch the next set of collection IDs.
For an example, see example1.
This operation requires permissions to perform the rekognition:ListCollections action.
listCollectionsRequest - Future<ListCollectionsResult> listCollectionsAsync(ListCollectionsRequest listCollectionsRequest, AsyncHandler<ListCollectionsRequest,ListCollectionsResult> asyncHandler)
Returns list of collection IDs in your account. If the result is truncated, the response also provides a
NextToken that you can use in the subsequent request to fetch the next set of collection IDs.
For an example, see example1.
This operation requires permissions to perform the rekognition:ListCollections action.
listCollectionsRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<ListFacesResult> listFacesAsync(ListFacesRequest listFacesRequest)
Returns metadata for faces in the specified collection. This metadata includes information such as the bounding box coordinates, the confidence (that the bounding box contains a face), and face ID. For an example, see example3.
This operation requires permissions to perform the rekognition:ListFaces action.
listFacesRequest - Future<ListFacesResult> listFacesAsync(ListFacesRequest listFacesRequest, AsyncHandler<ListFacesRequest,ListFacesResult> asyncHandler)
Returns metadata for faces in the specified collection. This metadata includes information such as the bounding box coordinates, the confidence (that the bounding box contains a face), and face ID. For an example, see example3.
This operation requires permissions to perform the rekognition:ListFaces action.
listFacesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<RecognizeCelebritiesResult> recognizeCelebritiesAsync(RecognizeCelebritiesRequest recognizeCelebritiesRequest)
Returns an array of celebrities recognized in the input image. The image is passed either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. The image must be either a PNG or JPEG formatted file. For more information, see celebrity-recognition.
RecognizeCelebrities returns the 15 largest faces in the image. It lists recognized celebrities in
the CelebrityFaces list and unrecognized faces in the UnrecognizedFaces list. The
operation doesn't return celebrities whose face sizes are smaller than the largest 15 faces in the image.
For each celebrity recognized, the API returns a Celebrity object. The Celebrity object
contains the celebrity name, ID, URL links to additional information, match confidence, and a
ComparedFace object that you can use to locate the celebrity's face on the image.
Rekognition does not retain information about which images a celebrity has been recognized in. Your application
must store this information and use the Celebrity ID property as a unique identifier for the
celebrity. If you don't store the celebrity name or additional information URLs returned by
RecognizeCelebrities, you will need the ID to identify the celebrity in a call to the operation.
For an example, see recognize-celebrities-tutorial.
This operation requires permissions to perform the rekognition:RecognizeCelebrities operation.
recognizeCelebritiesRequest - Future<RecognizeCelebritiesResult> recognizeCelebritiesAsync(RecognizeCelebritiesRequest recognizeCelebritiesRequest, AsyncHandler<RecognizeCelebritiesRequest,RecognizeCelebritiesResult> asyncHandler)
Returns an array of celebrities recognized in the input image. The image is passed either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. The image must be either a PNG or JPEG formatted file. For more information, see celebrity-recognition.
RecognizeCelebrities returns the 15 largest faces in the image. It lists recognized celebrities in
the CelebrityFaces list and unrecognized faces in the UnrecognizedFaces list. The
operation doesn't return celebrities whose face sizes are smaller than the largest 15 faces in the image.
For each celebrity recognized, the API returns a Celebrity object. The Celebrity object
contains the celebrity name, ID, URL links to additional information, match confidence, and a
ComparedFace object that you can use to locate the celebrity's face on the image.
Rekognition does not retain information about which images a celebrity has been recognized in. Your application
must store this information and use the Celebrity ID property as a unique identifier for the
celebrity. If you don't store the celebrity name or additional information URLs returned by
RecognizeCelebrities, you will need the ID to identify the celebrity in a call to the operation.
For an example, see recognize-celebrities-tutorial.
This operation requires permissions to perform the rekognition:RecognizeCelebrities operation.
recognizeCelebritiesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<SearchFacesResult> searchFacesAsync(SearchFacesRequest searchFacesRequest)
For a given input face ID, searches for matching faces in the collection the face belongs to. You get a face ID when you add a face to the collection using the IndexFaces operation. The operation compares the features of the input face with faces in the specified collection.
You can also search faces without indexing faces by using the SearchFacesByImage operation.
The operation response returns an array of faces that match, ordered by similarity score with the highest
similarity first. More specifically, it is an array of metadata for each face match that is found. Along with the
metadata, the response also includes a confidence value for each face match, indicating the
confidence that the specific face matches the input face.
For an example, see example3.
This operation requires permissions to perform the rekognition:SearchFaces action.
searchFacesRequest - Future<SearchFacesResult> searchFacesAsync(SearchFacesRequest searchFacesRequest, AsyncHandler<SearchFacesRequest,SearchFacesResult> asyncHandler)
For a given input face ID, searches for matching faces in the collection the face belongs to. You get a face ID when you add a face to the collection using the IndexFaces operation. The operation compares the features of the input face with faces in the specified collection.
You can also search faces without indexing faces by using the SearchFacesByImage operation.
The operation response returns an array of faces that match, ordered by similarity score with the highest
similarity first. More specifically, it is an array of metadata for each face match that is found. Along with the
metadata, the response also includes a confidence value for each face match, indicating the
confidence that the specific face matches the input face.
For an example, see example3.
This operation requires permissions to perform the rekognition:SearchFaces action.
searchFacesRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Future<SearchFacesByImageResult> searchFacesByImageAsync(SearchFacesByImageRequest searchFacesByImageRequest)
For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection.
To search for all faces in an input image, you might first call the operation, and then use the face IDs returned in subsequent calls to the operation.
You can also call the DetectFaces operation and use the bounding boxes in the response to make face
crops, which then you can pass in to the SearchFacesByImage operation.
The response returns an array of faces that match, ordered by similarity score with the highest similarity first.
More specifically, it is an array of metadata for each face match found. Along with the metadata, the response
also includes a similarity indicating how similar the face is to the input face. In the response,
the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the
face that Amazon Rekognition used for the input image.
For an example, see example3.
This operation requires permissions to perform the rekognition:SearchFacesByImage action.
searchFacesByImageRequest - Future<SearchFacesByImageResult> searchFacesByImageAsync(SearchFacesByImageRequest searchFacesByImageRequest, AsyncHandler<SearchFacesByImageRequest,SearchFacesByImageResult> asyncHandler)
For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection.
To search for all faces in an input image, you might first call the operation, and then use the face IDs returned in subsequent calls to the operation.
You can also call the DetectFaces operation and use the bounding boxes in the response to make face
crops, which then you can pass in to the SearchFacesByImage operation.
The response returns an array of faces that match, ordered by similarity score with the highest similarity first.
More specifically, it is an array of metadata for each face match found. Along with the metadata, the response
also includes a similarity indicating how similar the face is to the input face. In the response,
the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the
face that Amazon Rekognition used for the input image.
For an example, see example3.
This operation requires permissions to perform the rekognition:SearchFacesByImage action.
searchFacesByImageRequest - asyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.Copyright © 2013 Amazon Web Services, Inc. All Rights Reserved.