Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.Rekognition.Types.CustomLabel

Description

Synopsis

data CustomLabel = CustomLabel' {
- confidence :: Maybe Double
- name :: Maybe Text
- geometry :: Maybe Geometry
}
newCustomLabel :: CustomLabel
customLabel_confidence :: Lens' CustomLabel (Maybe Double)
customLabel_name :: Lens' CustomLabel (Maybe Text)
customLabel_geometry :: Lens' CustomLabel (Maybe Geometry)

Documentation

data CustomLabel Source #

A custom label detected in an image by a call to DetectCustomLabels.

See: newCustomLabel smart constructor.

Constructors

CustomLabel'

Fields

confidence :: Maybe Double
The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.
name :: Maybe Text
The name of the custom label.
geometry :: Maybe Geometry
The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.

Instances

Instances details

Eq CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods (==) :: CustomLabel -> CustomLabel -> Bool # (/=) :: CustomLabel -> CustomLabel -> Bool #
Read CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods readsPrec :: Int -> ReadS CustomLabel # readList :: ReadS [CustomLabel] # readPrec :: ReadPrec CustomLabel # readListPrec :: ReadPrec [CustomLabel] #
Show CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods showsPrec :: Int -> CustomLabel -> ShowS # show :: CustomLabel -> String # showList :: [CustomLabel] -> ShowS #
Generic CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Associated Types type Rep CustomLabel :: Type -> Type # Methods from :: CustomLabel -> Rep CustomLabel x # to :: Rep CustomLabel x -> CustomLabel #
NFData CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods rnf :: CustomLabel -> () #
Hashable CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods hashWithSalt :: Int -> CustomLabel -> Int # hash :: CustomLabel -> Int #
FromJSON CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel Methods parseJSON :: Value -> Parser CustomLabel # parseJSONList :: Value -> Parser [CustomLabel] #
type Rep CustomLabel Source #
Instance details Defined in Amazonka.Rekognition.Types.CustomLabel type Rep CustomLabel = D1 ('MetaData "CustomLabel" "Amazonka.Rekognition.Types.CustomLabel" "libZSservicesZSamazonka-rekognitionZSamazonka-rekognition" 'False) (C1 ('MetaCons "CustomLabel'" 'PrefixI 'True) (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :: S1 ('MetaSel ('Just "geometry") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Geometry)))))

newCustomLabel :: CustomLabel Source #

Create a value of CustomLabel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:confidence:CustomLabel', customLabel_confidence - The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.

$sel:name:CustomLabel', customLabel_name - The name of the custom label.

$sel:geometry:CustomLabel', customLabel_geometry - The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.

customLabel_confidence :: Lens' CustomLabel (Maybe Double) Source #

The confidence that the model has in the detection of the custom label. The range is 0-100. A higher value indicates a higher confidence.

customLabel_name :: Lens' CustomLabel (Maybe Text) Source #

The name of the custom label.

customLabel_geometry :: Lens' CustomLabel (Maybe Geometry) Source #

The location of the detected object on the image that corresponds to the custom label. Includes an axis aligned coarse bounding box surrounding the object and a finer grain polygon for more accurate spatial information.