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Detects faces within an image that is provided as input.
DetectFaces
detects the 100 largest faces in the image. For each face detected,
the operation returns face details. These details include 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), pose, presence
of facial occlusion, and so on.
The face-detection algorithm is most effective on frontal faces. For non-frontal or obscured faces, the algorithm might not detect the faces or might detect faces with lower confidence.
You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.
This is a stateless API operation. That is, the operation does not persist any data.
This operation requires permissions to perform the rekognition:DetectFaces
action.
For .NET Core this operation is only available in asynchronous form. Please refer to DetectFacesAsync.
Namespace: Amazon.Rekognition
Assembly: AWSSDK.Rekognition.dll
Version: 3.x.y.z
public virtual DetectFacesResponse DetectFaces( DetectFacesRequest request )
Container for the necessary parameters to execute the DetectFaces service method.
Exception | Condition |
---|---|
AccessDeniedException | You are not authorized to perform the action. |
ImageTooLargeException | The input image size exceeds the allowed limit. If you are calling DetectProtectiveEquipment, the image size or resolution exceeds the allowed limit. For more information, see Guidelines and quotas in Amazon Rekognition in the Amazon Rekognition Developer Guide. |
InternalServerErrorException | Amazon Rekognition experienced a service issue. Try your call again. |
InvalidImageFormatException | The provided image format is not supported. |
InvalidParameterException | Input parameter violated a constraint. Validate your parameter before calling the API operation again. |
InvalidS3ObjectException | Amazon Rekognition is unable to access the S3 object specified in the request. |
ProvisionedThroughputExceededException | The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition. |
ThrottlingException | Amazon Rekognition is temporarily unable to process the request. Try your call again. |
This operation detects faces in an image stored in an AWS S3 bucket.
var client = new AmazonRekognitionClient(); var response = client.DetectFaces(new DetectFacesRequest { Image = new Image { S3Object = new S3Object { Bucket = "mybucket", Name = "myphoto" } } }); List<FaceDetail> faceDetails = response.FaceDetails; string orientationCorrection = response.OrientationCorrection;
.NET Framework:
Supported in: 4.5 and newer, 3.5