Search Faces
rekognition_search_faces | R Documentation |
For a given input face ID, searches for matching faces in the collection the face belongs to¶
Description¶
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 index_faces
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
search_faces_by_image
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 Searching for a face using its face ID in the Amazon Rekognition Developer Guide.
This operation requires permissions to perform the
rekognition:SearchFaces
action.
Usage¶
Arguments¶
CollectionId
[required] ID of the collection the face belongs to.
FaceId
[required] ID of a face to find matches for in the collection.
MaxFaces
Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.
FaceMatchThreshold
Optional value specifying the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%. The default value is 80%.
Value¶
A list with the following syntax:
list(
SearchedFaceId = "string",
FaceMatches = list(
list(
Similarity = 123.0,
Face = list(
FaceId = "string",
BoundingBox = list(
Width = 123.0,
Height = 123.0,
Left = 123.0,
Top = 123.0
),
ImageId = "string",
ExternalImageId = "string",
Confidence = 123.0,
IndexFacesModelVersion = "string",
UserId = "string"
)
)
),
FaceModelVersion = "string"
)
Request syntax¶
svc$search_faces(
CollectionId = "string",
FaceId = "string",
MaxFaces = 123,
FaceMatchThreshold = 123.0
)