This is the API Reference for Amazon Rekognition Image, Amazon Rekognition Custom Labels, Amazon Rekognition Stored Video, Amazon Rekognition Streaming Video. It provides descriptions of actions, data types, common parameters, and common errors.
Amazon Rekognition Image
associate_faces
compare_faces
create_collection
create_user
delete_collection
delete_faces
delete_user
describe_collection
detect_faces
detect_labels
detect_moderation_labels
detect_protective_equipment
detect_text
disassociate_faces
get_celebrity_info
index_faces
list_collections
list_faces
list_users
recognize_celebrities
search_faces
search_faces_by_image
search_users
search_users_by_image
Amazon Rekognition Custom Labels
copy_project_version
create_dataset
create_project
create_project_version
delete_dataset
delete_project
delete_project_policy
delete_project_version
describe_dataset
describe_projects
describe_project_versions
detect_custom_labels
distribute_dataset_entries
list_dataset_entries
list_dataset_labels
list_project_policies
put_project_policy
start_project_version
stop_project_version
update_dataset_entries
Amazon Rekognition Video Stored Video
get_celebrity_recognition
get_content_moderation
get_face_detection
get_face_search
get_label_detection
get_person_tracking
get_segment_detection
get_text_detection
start_celebrity_recognition
start_content_moderation
start_face_detection
start_face_search
start_label_detection
start_person_tracking
start_segment_detection
start_text_detection
Amazon Rekognition Video Streaming Video
create_stream_processor
delete_stream_processor
describe_stream_processor
list_stream_processors
start_stream_processor
stop_stream_processor
update_stream_processor
rekognition(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)A client for the service. You can call the service's operations using
syntax like svc$operation(...), where svc is the name you've assigned
to the client. The available operations are listed in the
Operations section.
Optional configuration of credentials, endpoint, and/or region.
credentials:
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
endpoint: The complete URL to use for the constructed client.
region: The AWS Region used in instantiating the client.
close_connection: Immediately close all HTTP connections.
timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.
s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.
sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html
Optional credentials shorthand for the config parameter
creds:
access_key_id: AWS access key ID
secret_access_key: AWS secret access key
session_token: AWS temporary session token
profile: The name of a profile to use. If not given, then the default profile is used.
anonymous: Set anonymous credentials.
Optional shorthand for complete URL to use for the constructed client.
Optional shorthand for AWS Region used in instantiating the client.
svc <- rekognition(
config = list(
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string",
close_connection = "logical",
timeout = "numeric",
s3_force_path_style = "logical",
sts_regional_endpoint = "string"
),
credentials = list(
creds = list(
access_key_id = "string",
secret_access_key = "string",
session_token = "string"
),
profile = "string",
anonymous = "logical"
),
endpoint = "string",
region = "string"
)
| associate_faces | Associates one or more faces with an existing UserID |
| compare_faces | Compares a face in the source input image with each of the 100 largest faces detected in the target input image |
| copy_project_version | Copies a version of an Amazon Rekognition Custom Labels model from a source project to a destination project |
| create_collection | Creates a collection in an AWS Region |
| create_dataset | Creates a new Amazon Rekognition Custom Labels dataset |
| create_face_liveness_session | This API operation initiates a Face Liveness session |
| create_project | Creates a new Amazon Rekognition Custom Labels project |
| create_project_version | Creates a new version of a model and begins training |
| create_stream_processor | Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces or to detect labels in a streaming video |
| create_user | Creates a new User within a collection specified by CollectionId |
| delete_collection | Deletes the specified collection |
| delete_dataset | Deletes an existing Amazon Rekognition Custom Labels dataset |
| delete_faces | Deletes faces from a collection |
| delete_project | Deletes an Amazon Rekognition Custom Labels project |
| delete_project_policy | Deletes an existing project policy |
| delete_project_version | Deletes an Amazon Rekognition Custom Labels model |
| delete_stream_processor | Deletes the stream processor identified by Name |
| delete_user | Deletes the specified UserID within the collection |
| describe_collection | Describes the specified collection |
| describe_dataset | Describes an Amazon Rekognition Custom Labels dataset |
| describe_projects | Gets information about your Amazon Rekognition Custom Labels projects |
| describe_project_versions | Lists and describes the versions of a model in an Amazon Rekognition Custom Labels project |
| describe_stream_processor | Provides information about a stream processor created by CreateStreamProcessor |
| detect_custom_labels | Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model |
| detect_faces | Detects faces within an image that is provided as input |
| detect_labels | Detects instances of real-world entities within an image (JPEG or PNG) provided as input |
| detect_moderation_labels | Detects unsafe content in a specified JPEG or PNG format image |
| detect_protective_equipment | Detects Personal Protective Equipment (PPE) worn by people detected in an image |
| detect_text | Detects text in the input image and converts it into machine-readable text |
| disassociate_faces | Removes the association between a Face supplied in an array of FaceIds and the User |
| distribute_dataset_entries | Distributes the entries (images) in a training dataset across the training dataset and the test dataset for a project |
| get_celebrity_info | Gets the name and additional information about a celebrity based on their Amazon Rekognition ID |
| get_celebrity_recognition | Gets the celebrity recognition results for a Amazon Rekognition Video analysis started by StartCelebrityRecognition |
| get_content_moderation | Gets the inappropriate, unwanted, or offensive content analysis results for a Amazon Rekognition Video analysis started by StartContentModeration |
| get_face_detection | Gets face detection results for a Amazon Rekognition Video analysis started by StartFaceDetection |
| get_face_liveness_session_results | Retrieves the results of a specific Face Liveness session |
| get_face_search | Gets the face search results for Amazon Rekognition Video face search started by StartFaceSearch |
| get_label_detection | Gets the label detection results of a Amazon Rekognition Video analysis started by StartLabelDetection |
| get_person_tracking | Gets the path tracking results of a Amazon Rekognition Video analysis started by StartPersonTracking |
| get_segment_detection | Gets the segment detection results of a Amazon Rekognition Video analysis started by StartSegmentDetection |
| get_text_detection | Gets the text detection results of a Amazon Rekognition Video analysis started by StartTextDetection |
| index_faces | Detects faces in the input image and adds them to the specified collection |
| list_collections | Returns list of collection IDs in your account |
| list_dataset_entries | Lists the entries (images) within a dataset |
| list_dataset_labels | Lists the labels in a dataset |
| list_faces | Returns metadata for faces in the specified collection |
| list_project_policies | Gets a list of the project policies attached to a project |
| list_stream_processors | Gets a list of stream processors that you have created with CreateStreamProcessor |
| list_tags_for_resource | Returns a list of tags in an Amazon Rekognition collection, stream processor, or Custom Labels model |
| list_users | Returns metadata of the User such as UserID in the specified collection |
| put_project_policy | Attaches a project policy to a Amazon Rekognition Custom Labels project in a trusting AWS account |
| recognize_celebrities | Returns an array of celebrities recognized in the input image |
| search_faces | For a given input face ID, searches for matching faces in the collection the face belongs to |
| search_faces_by_image | For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces |
| search_users | Searches for UserIDs within a collection based on a FaceId or UserId |
| search_users_by_image | Searches for UserIDs using a supplied image |
| start_celebrity_recognition | Starts asynchronous recognition of celebrities in a stored video |
| start_content_moderation | Starts asynchronous detection of inappropriate, unwanted, or offensive content in a stored video |
| start_face_detection | Starts asynchronous detection of faces in a stored video |
| start_face_search | Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video |
| start_label_detection | Starts asynchronous detection of labels in a stored video |
| start_person_tracking | Starts the asynchronous tracking of a person's path in a stored video |
| start_project_version | Starts the running of the version of a model |
| start_segment_detection | Starts asynchronous detection of segment detection in a stored video |
| start_stream_processor | Starts processing a stream processor |
| start_text_detection | Starts asynchronous detection of text in a stored video |
| stop_project_version | Stops a running model |
| stop_stream_processor | Stops a running stream processor that was created by CreateStreamProcessor |
| tag_resource | Adds one or more key-value tags to an Amazon Rekognition collection, stream processor, or Custom Labels model |
| untag_resource | Removes one or more tags from an Amazon Rekognition collection, stream processor, or Custom Labels model |
| update_dataset_entries | Adds or updates one or more entries (images) in a dataset |
| update_stream_processor | Allows you to update a stream processor |
if (FALSE) {
svc <- rekognition()
# This operation associates one or more faces with an existing UserID.
svc$associate_faces(
ClientRequestToken = "550e8400-e29b-41d4-a716-446655440002",
CollectionId = "MyCollection",
FaceIds = list(
"f5817d37-94f6-4335-bfee-6cf79a3d806e",
"851cb847-dccc-4fea-9309-9f4805967855",
"35ebbb41-7f67-4263-908d-dd0ecba05ab9"
),
UserId = "DemoUser",
UserMatchThreshold = 70L
)
}
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