DetectCustomLabelsRequest Class | AWS SDK for .NET V3

Container for the parameters to the DetectCustomLabels operation.

This operation applies only to Amazon Rekognition Custom Labels.

Detects custom labels in a supplied image by using an Amazon Rekognition Custom Labels model.

You specify which version of a model version to use by using the ProjectVersionArn input parameter.

You pass the input image 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.

For each object that the model version detects on an image, the API returns a (CustomLabel) object in an array (CustomLabels). Each CustomLabel object provides the label name (Name), the level of confidence that the image contains the object (Confidence), and object location information, if it exists, for the label on the image (Geometry). Note that for the DetectCustomLabelsLabels operation, Polygons are not returned in the Geometry section of the response.

To filter labels that are returned, specify a value for MinConfidence. DetectCustomLabelsLabels only returns labels with a confidence that's higher than the specified value. The value of MinConfidence maps to the assumed threshold values created during training. For more information, see Assumed threshold in the Amazon Rekognition Custom Labels Developer Guide. Amazon Rekognition Custom Labels metrics expresses an assumed threshold as a floating point value between 0-1. The range of MinConfidence normalizes the threshold value to a percentage value (0-100). Confidence responses from DetectCustomLabels are also returned as a percentage. You can use MinConfidence to change the precision and recall or your model. For more information, see Analyzing an image in the Amazon Rekognition Custom Labels Developer Guide.

If you don't specify a value for MinConfidence, DetectCustomLabels returns labels based on the assumed threshold of each label.

This is a stateless API operation. That is, the operation does not persist any data.

This operation requires permissions to perform the rekognition:DetectCustomLabels action.

For more information, see Analyzing an image in the Amazon Rekognition Custom Labels Developer Guide.

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonWebServiceRequest
    Amazon.Rekognition.AmazonRekognitionRequest
      Amazon.Rekognition.Model.DetectCustomLabelsRequest

Namespace: Amazon.Rekognition.Model
Assembly: AWSSDK.Rekognition.dll
Version: 3.x.y.z

Syntax

public class DetectCustomLabelsRequest : AmazonRekognitionRequest
         IAmazonWebServiceRequest

The DetectCustomLabelsRequest type exposes the following members

Constructors

	Name	Description
	DetectCustomLabelsRequest()

Properties

Name	Type	Description
Image	Amazon.Rekognition.Model.Image	Gets and sets the property Image.
MaxResults	System.Int32	Gets and sets the property MaxResults. Maximum number of results you want the service to return in the response. The service returns the specified number of highest confidence labels ranked from highest confidence to lowest.
MinConfidence	System.Single	Gets and sets the property MinConfidence. Specifies the minimum confidence level for the labels to return. `DetectCustomLabels` doesn't return any labels with a confidence value that's lower than this specified value. If you specify a value of 0, `DetectCustomLabels` returns all labels, regardless of the assumed threshold applied to each label. If you don't specify a value for `MinConfidence`, `DetectCustomLabels` returns labels based on the assumed threshold of each label.
ProjectVersionArn	System.String	Gets and sets the property ProjectVersionArn. The ARN of the model version that you want to use. Only models associated with Custom Labels projects accepted by the operation. If a provided ARN refers to a model version associated with a project for a different feature type, then an InvalidParameterException is returned.

Examples

Detects custom labels in an image with an Amazon Rekognition Custom Labels model

To detect custom labels in an image with an Amazon Rekognition Custom Labels model


var client = new AmazonRekognitionClient();
var response = client.DetectCustomLabels(new DetectCustomLabelsRequest 
{
    Image = new Image { S3Object = new S3Object {
        Bucket = "custom-labels-console-us-east-1-1111111111",
        Name = "assets/flowers_1_test_dataset/camellia4.jpg"
    } },
    MaxResults = 100,
    MinConfidence = 50,
    ProjectVersionArn = "arn:aws:rekognition:us-east-1:111122223333:project/my-project/version/my-project.2023-07-31T11.49.37/1690829378219"
});

List<CustomLabel> customLabels = response.CustomLabels;

Version Information

.NET:
Supported in: 8.0 and newer, Core 3.1

.NET Standard:
Supported in: 2.0

.NET Framework:
Supported in: 4.5 and newer, 3.5