IndexFacesRequest (AWS SDK for Android

java.lang.Object
- com.amazonaws.AmazonWebServiceRequest
- - com.amazonaws.services.rekognition.model.IndexFacesRequest

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable
```
public class IndexFacesRequest
extends AmazonWebServiceRequest
implements java.io.Serializable
```
Detects faces in the input image and adds them to the specified collection.

Amazon Rekognition doesn't save the actual faces that are detected. Instead, the underlying detection algorithm first detects the faces in the input image. For each face, the algorithm extracts facial features into a feature vector, and stores it in the backend database. Amazon Rekognition uses feature vectors when it performs face match and search operations using the SearchFaces and SearchFacesByImage operations.

For more information, see Adding Faces to a Collection in the Amazon Rekognition Developer Guide.

To get the number of faces in a collection, call DescribeCollection.

If you're using version 1.0 of the face detection model, IndexFaces indexes the 15 largest faces in the input image. Later versions of the face detection model index the 100 largest faces in the input image.

If you're using version 4 or later of the face model, image orientation information is not returned in the OrientationCorrection field.

To determine which version of the model you're using, call DescribeCollection and supply the collection ID. You can also get the model version from the value of FaceModelVersion in the response from IndexFaces

For more information, see Model Versioning in the Amazon Rekognition Developer Guide.

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 ListFaces 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.

You can specify the maximum number of faces to index with the MaxFaces input parameter. This is useful when you want to index the largest faces in an image and don't want to index smaller faces, such as those belonging to people standing in the background.

The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. By default, IndexFaces chooses the quality bar that's used to filter faces. You can also explicitly choose the quality bar. Use QualityFilter, to set the quality bar by specifying LOW, MEDIUM, or HIGH . If you do not want to filter detected faces, specify NONE.

To use quality filtering, you need a collection associated with version 3 of the face model or higher. To get the version of the face model associated with a collection, call DescribeCollection.

Information about faces detected in an image, but not indexed, is returned in an array of UnindexedFace objects, UnindexedFaces. Faces aren't indexed for reasons such as:
- The number of faces detected exceeds the value of the MaxFaces request parameter.
- The face is too small compared to the image dimensions.
- The face is too blurry.
- The image is too dark.
- The face has an extreme pose.
- The face doesn’t have enough detail to be suitable for face search.
In response, the IndexFaces operation returns an array of metadata for all detected faces, FaceRecords. This includes:
- The bounding box, BoundingBox, of the detected face.
- A confidence value, Confidence, which indicates the confidence that the bounding box contains a face.
- A face ID, FaceId, assigned by the service for each face that's detected and stored.
- An image ID, ImageId, assigned by the service for the input image.
If you request all facial attributes (by using the detectionAttributes parameter), Amazon Rekognition returns detailed facial attributes, such as facial landmarks (for example, location of eye and mouth) and other facial attributes. 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.

The input image is passed 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 isn't supported. The image must be formatted as a PNG or JPEG file.

This operation requires permissions to perform the rekognition:IndexFaces action.
See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description
`IndexFacesRequest()` Default constructor for IndexFacesRequest object.
`IndexFacesRequest(java.lang.String collectionId, Image image)` Constructs a new IndexFacesRequest object.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`equals(java.lang.Object obj)`
`java.lang.String`	`getCollectionId()` The ID of an existing collection to which you want to add the faces that are detected in the input images.
`java.util.List<java.lang.String>`	`getDetectionAttributes()` An array of facial attributes that you want to be returned.
`java.lang.String`	`getExternalImageId()` The ID you want to assign to all the faces detected in the image.
`Image`	`getImage()` The input image as base64-encoded bytes or an S3 object.
`java.lang.Integer`	`getMaxFaces()` The maximum number of faces to index.
`java.lang.String`	`getQualityFilter()` A filter that specifies a quality bar for how much filtering is done to identify faces.
`int`	`hashCode()`
`void`	`setCollectionId(java.lang.String collectionId)` The ID of an existing collection to which you want to add the faces that are detected in the input images.
`void`	`setDetectionAttributes(java.util.Collection<java.lang.String> detectionAttributes)` An array of facial attributes that you want to be returned.
`void`	`setExternalImageId(java.lang.String externalImageId)` The ID you want to assign to all the faces detected in the image.
`void`	`setImage(Image image)` The input image as base64-encoded bytes or an S3 object.
`void`	`setMaxFaces(java.lang.Integer maxFaces)` The maximum number of faces to index.
`void`	`setQualityFilter(QualityFilter qualityFilter)` A filter that specifies a quality bar for how much filtering is done to identify faces.
`void`	`setQualityFilter(java.lang.String qualityFilter)` A filter that specifies a quality bar for how much filtering is done to identify faces.
`java.lang.String`	`toString()` Returns a string representation of this object; useful for testing and debugging.
`IndexFacesRequest`	`withCollectionId(java.lang.String collectionId)` The ID of an existing collection to which you want to add the faces that are detected in the input images.
`IndexFacesRequest`	`withDetectionAttributes(java.util.Collection<java.lang.String> detectionAttributes)` An array of facial attributes that you want to be returned.
`IndexFacesRequest`	`withDetectionAttributes(java.lang.String... detectionAttributes)` An array of facial attributes that you want to be returned.
`IndexFacesRequest`	`withExternalImageId(java.lang.String externalImageId)` The ID you want to assign to all the faces detected in the image.
`IndexFacesRequest`	`withImage(Image image)` The input image as base64-encoded bytes or an S3 object.
`IndexFacesRequest`	`withMaxFaces(java.lang.Integer maxFaces)` The maximum number of faces to index.
`IndexFacesRequest`	`withQualityFilter(QualityFilter qualityFilter)` A filter that specifies a quality bar for how much filtering is done to identify faces.
`IndexFacesRequest`	`withQualityFilter(java.lang.String qualityFilter)` A filter that specifies a quality bar for how much filtering is done to identify faces.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest
clone, getCloneRoot, getCloneSource, getGeneralProgressListener, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollector

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - IndexFacesRequest
```
public IndexFacesRequest()
```
    Default constructor for IndexFacesRequest object. Callers should use the setter or fluent setter (with...) methods to initialize any additional object members.
  - IndexFacesRequest
```
public IndexFacesRequest(java.lang.String collectionId,
                         Image image)
```
    Constructs a new IndexFacesRequest object. Callers should use the setter or fluent setter (with...) methods to initialize any additional object members.
    
    Parameters:
    
    collectionId -
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
    
    image -
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
- Method Detail
  - getCollectionId
```
public java.lang.String getCollectionId()
```
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
    
    Constraints:
    Length: 1 - 255
    Pattern: [a-zA-Z0-9_.\-]+
    
    Returns:
    
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
  - setCollectionId
```
public void setCollectionId(java.lang.String collectionId)
```
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
    
    Constraints:
    Length: 1 - 255
    Pattern: [a-zA-Z0-9_.\-]+
    
    Parameters:
    
    collectionId -
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
  - withCollectionId
```
public IndexFacesRequest withCollectionId(java.lang.String collectionId)
```
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 1 - 255
    Pattern: [a-zA-Z0-9_.\-]+
    
    Parameters:
    
    collectionId -
    The ID of an existing collection to which you want to add the faces that are detected in the input images.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getImage
```
public Image getImage()
```
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    
    Returns:
    
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
  - setImage
```
public void setImage(Image image)
```
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    
    Parameters:
    
    image -
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
  - withImage
```
public IndexFacesRequest withImage(Image image)
```
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    image -
    The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes isn't supported.
    
    If you are using an AWS SDK to call Amazon Rekognition, you might not need to base64-encode image bytes passed using the Bytes field. For more information, see Images in the Amazon Rekognition developer guide.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getExternalImageId
```
public java.lang.String getExternalImageId()
```
    The ID you want to assign to all the faces detected in the image.
    
    Constraints:
    Length: 1 - 255
    Pattern: [a-zA-Z0-9_.\-:]+
    
    Returns:
    
    The ID you want to assign to all the faces detected in the image.
  - setExternalImageId
```
public void setExternalImageId(java.lang.String externalImageId)
```
    The ID you want to assign to all the faces detected in the image.
    
    Constraints:
    Length: 1 - 255
    Pattern: [a-zA-Z0-9_.\-:]+
    
    Parameters:
    
    externalImageId -
    The ID you want to assign to all the faces detected in the image.
  - withExternalImageId
```
public IndexFacesRequest withExternalImageId(java.lang.String externalImageId)
```
    The ID you want to assign to all the faces detected in the image.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 1 - 255
    Pattern: [a-zA-Z0-9_.\-:]+
    
    Parameters:
    
    externalImageId -
    The ID you want to assign to all the faces detected in the image.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getDetectionAttributes
```
public java.util.List<java.lang.String> getDetectionAttributes()
```
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    
    Returns:
    
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
  - setDetectionAttributes
```
public void setDetectionAttributes(java.util.Collection<java.lang.String> detectionAttributes)
```
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    
    Parameters:
    
    detectionAttributes -
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
  - withDetectionAttributes
```
public IndexFacesRequest withDetectionAttributes(java.lang.String... detectionAttributes)
```
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    detectionAttributes -
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - withDetectionAttributes
```
public IndexFacesRequest withDetectionAttributes(java.util.Collection<java.lang.String> detectionAttributes)
```
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    detectionAttributes -
    An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for Attributes or if you specify ["DEFAULT"], the API returns the following subset of facial attributes: BoundingBox, Confidence, Pose, Quality, and Landmarks. If you provide ["ALL"], all facial attributes are returned, but the operation takes longer to complete.
    
    If you provide both, ["ALL", "DEFAULT"], the service uses a logical AND operator to determine which attributes to return (in this case, all attributes).
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getMaxFaces
```
public java.lang.Integer getMaxFaces()
```
    The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
    
    If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
    
    The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
    
    MaxFaces can be used with a collection associated with any version of the face model.
    
    Constraints:
    Range: 1 -
    
    Returns:
    
    The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
    
    If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
    
    The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
    
    MaxFaces can be used with a collection associated with any version of the face model.
  - setMaxFaces
```
public void setMaxFaces(java.lang.Integer maxFaces)
```
    The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
    
    If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
    
    The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
    
    MaxFaces can be used with a collection associated with any version of the face model.
    
    Constraints:
    Range: 1 -
    
    Parameters:
    
    maxFaces -
    The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
    
    If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
    
    The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
    
    MaxFaces can be used with a collection associated with any version of the face model.
  - withMaxFaces
```
public IndexFacesRequest withMaxFaces(java.lang.Integer maxFaces)
```
    The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
    
    If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
    
    The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
    
    MaxFaces can be used with a collection associated with any version of the face model.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Range: 1 -
    
    Parameters:
    
    maxFaces -
    The maximum number of faces to index. The value of MaxFaces must be greater than or equal to 1. IndexFaces returns no more than 100 detected faces in an image, even if you specify a larger value for MaxFaces.
    
    If IndexFaces detects more faces than the value of MaxFaces, the faces with the lowest quality are filtered out first. If there are still more faces than the value of MaxFaces, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of MaxFaces). Information about the unindexed faces is available in the UnindexedFaces array.
    
    The faces that are returned by IndexFaces are sorted by the largest face bounding box size to the smallest size, in descending order.
    
    MaxFaces can be used with a collection associated with any version of the face model.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getQualityFilter
```
public java.lang.String getQualityFilter()
```
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Constraints:
    Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH
    
    Returns:
    
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    See Also:
    
    QualityFilter
  - setQualityFilter
```
public void setQualityFilter(java.lang.String qualityFilter)
```
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Constraints:
    Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH
    
    Parameters:
    
    qualityFilter -
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    See Also:
    
    QualityFilter
  - withQualityFilter
```
public IndexFacesRequest withQualityFilter(java.lang.String qualityFilter)
```
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH
    
    Parameters:
    
    qualityFilter -
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
    
    See Also:
    
    QualityFilter
  - setQualityFilter
```
public void setQualityFilter(QualityFilter qualityFilter)
```
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Constraints:
    Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH
    
    Parameters:
    
    qualityFilter -
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    See Also:
    
    QualityFilter
  - withQualityFilter
```
public IndexFacesRequest withQualityFilter(QualityFilter qualityFilter)
```
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH
    
    Parameters:
    
    qualityFilter -
    A filter that specifies a quality bar for how much filtering is done to identify faces. Filtered faces aren't indexed. If you specify AUTO, Amazon Rekognition chooses the quality bar. If you specify LOW, MEDIUM, or HIGH, filtering removes all faces that don’t meet the chosen quality bar. The default value is AUTO. The quality bar is based on a variety of common use cases. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify NONE, no filtering is performed.
    
    To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
    
    See Also:
    
    QualityFilter
  - toString
```
public java.lang.String toString()
```
    Returns a string representation of this object; useful for testing and debugging.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class java.lang.Object
  - equals
```
public boolean equals(java.lang.Object obj)
```
    Overrides:
    
    equals in class java.lang.Object

Class IndexFacesRequest

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

Methods inherited from class java.lang.Object

Constructor Detail

IndexFacesRequest

IndexFacesRequest

Method Detail

getCollectionId

setCollectionId

withCollectionId

getImage

setImage

withImage

getExternalImageId

setExternalImageId

withExternalImageId

getDetectionAttributes

setDetectionAttributes

withDetectionAttributes

withDetectionAttributes

getMaxFaces

setMaxFaces

withMaxFaces

getQualityFilter

setQualityFilter

withQualityFilter

setQualityFilter

withQualityFilter

toString

hashCode

equals