amazonka-rekognition-1.5.0: Amazon Rekognition SDK.

Copyright(c) 2013-2017 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone
LanguageHaskell2010

Network.AWS.Rekognition.DetectModerationLabels

Contents

Description

Detects explicit or suggestive adult content in a specified JPEG or PNG format image. Use DetectModerationLabels to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content.

To filter images, use the labels returned by DetectModerationLabels to determine which types of content are appropriate. For information about moderation labels, see 'image-moderation' .

Synopsis

Creating a Request

detectModerationLabels Source #

Creates a value of DetectModerationLabels with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

  • dmlMinConfidence - Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value. If you don't specify MinConfidence , the operation returns labels with confidence values greater than or equal to 50 percent.
  • dmlImage - The input image as bytes or an S3 object.

data DetectModerationLabels Source #

See: detectModerationLabels smart constructor.

Instances

Eq DetectModerationLabels Source # 
Data DetectModerationLabels Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> DetectModerationLabels -> c DetectModerationLabels #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c DetectModerationLabels #

toConstr :: DetectModerationLabels -> Constr #

dataTypeOf :: DetectModerationLabels -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c DetectModerationLabels) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c DetectModerationLabels) #

gmapT :: (forall b. Data b => b -> b) -> DetectModerationLabels -> DetectModerationLabels #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> DetectModerationLabels -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> DetectModerationLabels -> r #

gmapQ :: (forall d. Data d => d -> u) -> DetectModerationLabels -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> DetectModerationLabels -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> DetectModerationLabels -> m DetectModerationLabels #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> DetectModerationLabels -> m DetectModerationLabels #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> DetectModerationLabels -> m DetectModerationLabels #

Read DetectModerationLabels Source # 
Show DetectModerationLabels Source # 
Generic DetectModerationLabels Source # 
Hashable DetectModerationLabels Source # 
ToJSON DetectModerationLabels Source # 
NFData DetectModerationLabels Source # 

Methods

rnf :: DetectModerationLabels -> () #

AWSRequest DetectModerationLabels Source # 
ToQuery DetectModerationLabels Source # 
ToPath DetectModerationLabels Source # 
ToHeaders DetectModerationLabels Source # 
type Rep DetectModerationLabels Source # 
type Rep DetectModerationLabels = D1 (MetaData "DetectModerationLabels" "Network.AWS.Rekognition.DetectModerationLabels" "amazonka-rekognition-1.5.0-B4jtpxqOYsT3vpCV9vDK91" False) (C1 (MetaCons "DetectModerationLabels'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_dmlMinConfidence") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe Double))) (S1 (MetaSel (Just Symbol "_dmlImage") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Image))))
type Rs DetectModerationLabels Source # 

Request Lenses

dmlMinConfidence :: Lens' DetectModerationLabels (Maybe Double) Source #

Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value. If you don't specify MinConfidence , the operation returns labels with confidence values greater than or equal to 50 percent.

dmlImage :: Lens' DetectModerationLabels Image Source #

The input image as bytes or an S3 object.

Destructuring the Response

detectModerationLabelsResponse Source #

Creates a value of DetectModerationLabelsResponse with the minimum fields required to make a request.

Use one of the following lenses to modify other fields as desired:

  • dmlrsModerationLabels - An array of labels for explicit or suggestive adult content found in the image. The list includes the top-level label and each child label detected in the image. This is useful for filtering specific categories of content.
  • dmlrsResponseStatus - -- | The response status code.

data DetectModerationLabelsResponse Source #

See: detectModerationLabelsResponse smart constructor.

Instances

Eq DetectModerationLabelsResponse Source # 
Data DetectModerationLabelsResponse Source # 

Methods

gfoldl :: (forall d b. Data d => c (d -> b) -> d -> c b) -> (forall g. g -> c g) -> DetectModerationLabelsResponse -> c DetectModerationLabelsResponse #

gunfold :: (forall b r. Data b => c (b -> r) -> c r) -> (forall r. r -> c r) -> Constr -> c DetectModerationLabelsResponse #

toConstr :: DetectModerationLabelsResponse -> Constr #

dataTypeOf :: DetectModerationLabelsResponse -> DataType #

dataCast1 :: Typeable (* -> *) t => (forall d. Data d => c (t d)) -> Maybe (c DetectModerationLabelsResponse) #

dataCast2 :: Typeable (* -> * -> *) t => (forall d e. (Data d, Data e) => c (t d e)) -> Maybe (c DetectModerationLabelsResponse) #

gmapT :: (forall b. Data b => b -> b) -> DetectModerationLabelsResponse -> DetectModerationLabelsResponse #

gmapQl :: (r -> r' -> r) -> r -> (forall d. Data d => d -> r') -> DetectModerationLabelsResponse -> r #

gmapQr :: (r' -> r -> r) -> r -> (forall d. Data d => d -> r') -> DetectModerationLabelsResponse -> r #

gmapQ :: (forall d. Data d => d -> u) -> DetectModerationLabelsResponse -> [u] #

gmapQi :: Int -> (forall d. Data d => d -> u) -> DetectModerationLabelsResponse -> u #

gmapM :: Monad m => (forall d. Data d => d -> m d) -> DetectModerationLabelsResponse -> m DetectModerationLabelsResponse #

gmapMp :: MonadPlus m => (forall d. Data d => d -> m d) -> DetectModerationLabelsResponse -> m DetectModerationLabelsResponse #

gmapMo :: MonadPlus m => (forall d. Data d => d -> m d) -> DetectModerationLabelsResponse -> m DetectModerationLabelsResponse #

Read DetectModerationLabelsResponse Source # 
Show DetectModerationLabelsResponse Source # 
Generic DetectModerationLabelsResponse Source # 
NFData DetectModerationLabelsResponse Source # 
type Rep DetectModerationLabelsResponse Source # 
type Rep DetectModerationLabelsResponse = D1 (MetaData "DetectModerationLabelsResponse" "Network.AWS.Rekognition.DetectModerationLabels" "amazonka-rekognition-1.5.0-B4jtpxqOYsT3vpCV9vDK91" False) (C1 (MetaCons "DetectModerationLabelsResponse'" PrefixI True) ((:*:) (S1 (MetaSel (Just Symbol "_dmlrsModerationLabels") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 (Maybe [ModerationLabel]))) (S1 (MetaSel (Just Symbol "_dmlrsResponseStatus") NoSourceUnpackedness SourceStrict DecidedStrict) (Rec0 Int))))

Response Lenses

dmlrsModerationLabels :: Lens' DetectModerationLabelsResponse [ModerationLabel] Source #

An array of labels for explicit or suggestive adult content found in the image. The list includes the top-level label and each child label detected in the image. This is useful for filtering specific categories of content.