Reference documentation and code samples for the Cloud Vision V1 API class Google::Cloud::Vision::V1::EntityAnnotation.
Set of detected entity features.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#bounding_poly
def bounding_poly() -> ::Google::Cloud::Vision::V1::BoundingPoly
Returns
-
(::Google::Cloud::Vision::V1::BoundingPoly) — Image region to which this entity belongs. Not produced
for
LABEL_DETECTION
features.
#bounding_poly=
def bounding_poly=(value) -> ::Google::Cloud::Vision::V1::BoundingPoly
Parameter
-
value (::Google::Cloud::Vision::V1::BoundingPoly) — Image region to which this entity belongs. Not produced
for
LABEL_DETECTION
features.
Returns
-
(::Google::Cloud::Vision::V1::BoundingPoly) — Image region to which this entity belongs. Not produced
for
LABEL_DETECTION
features.
#confidence
def confidence() -> ::Float
Returns
-
(::Float) — Deprecated. Use
score
instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].
#confidence=
def confidence=(value) -> ::Float
Parameter
-
value (::Float) — Deprecated. Use
score
instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].
Returns
-
(::Float) — Deprecated. Use
score
instead. The accuracy of the entity detection in an image. For example, for an image in which the "Eiffel Tower" entity is detected, this field represents the confidence that there is a tower in the query image. Range [0, 1].
#description
def description() -> ::String
Returns
-
(::String) — Entity textual description, expressed in its
locale
language.
#description=
def description=(value) -> ::String
Parameter
-
value (::String) — Entity textual description, expressed in its
locale
language.
Returns
-
(::String) — Entity textual description, expressed in its
locale
language.
#locale
def locale() -> ::String
Returns
-
(::String) — The language code for the locale in which the entity textual
description
is expressed.
#locale=
def locale=(value) -> ::String
Parameter
-
value (::String) — The language code for the locale in which the entity textual
description
is expressed.
Returns
-
(::String) — The language code for the locale in which the entity textual
description
is expressed.
#locations
def locations() -> ::Array<::Google::Cloud::Vision::V1::LocationInfo>
Returns
-
(::Array<::Google::Cloud::Vision::V1::LocationInfo>) — The location information for the detected entity. Multiple
LocationInfo
elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.
#locations=
def locations=(value) -> ::Array<::Google::Cloud::Vision::V1::LocationInfo>
Parameter
-
value (::Array<::Google::Cloud::Vision::V1::LocationInfo>) — The location information for the detected entity. Multiple
LocationInfo
elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.
Returns
-
(::Array<::Google::Cloud::Vision::V1::LocationInfo>) — The location information for the detected entity. Multiple
LocationInfo
elements can be present because one location may indicate the location of the scene in the image, and another location may indicate the location of the place where the image was taken. Location information is usually present for landmarks.
#mid
def mid() -> ::String
Returns
- (::String) — Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.
#mid=
def mid=(value) -> ::String
Parameter
- value (::String) — Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.
Returns
- (::String) — Opaque entity ID. Some IDs may be available in Google Knowledge Graph Search API.
#properties
def properties() -> ::Array<::Google::Cloud::Vision::V1::Property>
Returns
-
(::Array<::Google::Cloud::Vision::V1::Property>) — Some entities may have optional user-supplied
Property
(name/value) fields, such a score or string that qualifies the entity.
#properties=
def properties=(value) -> ::Array<::Google::Cloud::Vision::V1::Property>
Parameter
-
value (::Array<::Google::Cloud::Vision::V1::Property>) — Some entities may have optional user-supplied
Property
(name/value) fields, such a score or string that qualifies the entity.
Returns
-
(::Array<::Google::Cloud::Vision::V1::Property>) — Some entities may have optional user-supplied
Property
(name/value) fields, such a score or string that qualifies the entity.
#score
def score() -> ::Float
Returns
- (::Float) — Overall score of the result. Range [0, 1].
#score=
def score=(value) -> ::Float
Parameter
- value (::Float) — Overall score of the result. Range [0, 1].
Returns
- (::Float) — Overall score of the result. Range [0, 1].
#topicality
def topicality() -> ::Float
Returns
- (::Float) — The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].
#topicality=
def topicality=(value) -> ::Float
Parameter
- value (::Float) — The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].
Returns
- (::Float) — The relevancy of the ICA (Image Content Annotation) label to the image. For example, the relevancy of "tower" is likely higher to an image containing the detected "Eiffel Tower" than to an image containing a detected distant towering building, even though the confidence that there is a tower in each image may be the same. Range [0, 1].