Class: Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics
- Inherits:
-
Object
- Object
- Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/aiplatform_v1beta1/classes.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb,
lib/google/apis/aiplatform_v1beta1/representations.rb
Overview
Metrics for image object detection evaluation results.
Instance Attribute Summary collapse
-
#bounding_box_mean_average_precision ⇒ Float
The single metric for bounding boxes evaluation: the
meanAveragePrecision
averaged over allboundingBoxMetricsEntries
. -
#bounding_box_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetrics>
The bounding boxes match metrics for each intersection-over-union threshold 0.
-
#evaluated_bounding_box_count ⇒ Fixnum
The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics
constructor
A new instance of GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics
Returns a new instance of GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsImageObjectDetectionEvaluationMetrics.
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25789 def initialize(**args) update!(**args) end |
Instance Attribute Details
#bounding_box_mean_average_precision ⇒ Float
The single metric for bounding boxes evaluation: the meanAveragePrecision
averaged over all boundingBoxMetricsEntries
.
Corresponds to the JSON property boundingBoxMeanAveragePrecision
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25774 def bounding_box_mean_average_precision @bounding_box_mean_average_precision end |
#bounding_box_metrics ⇒ Array<Google::Apis::AiplatformV1beta1::GoogleCloudAiplatformV1beta1SchemaModelevaluationMetricsBoundingBoxMetrics>
The bounding boxes match metrics for each intersection-over-union threshold 0.
05,0.10,...,0.95,0.96,0.97,0.98,0.99 and each label confidence threshold 0.05,
0.10,...,0.95,0.96,0.97,0.98,0.99 pair.
Corresponds to the JSON property boundingBoxMetrics
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25781 def bounding_box_metrics @bounding_box_metrics end |
#evaluated_bounding_box_count ⇒ Fixnum
The total number of bounding boxes (i.e. summed over all images) the ground
truth used to create this evaluation had.
Corresponds to the JSON property evaluatedBoundingBoxCount
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25787 def evaluated_bounding_box_count @evaluated_bounding_box_count end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/aiplatform_v1beta1/classes.rb', line 25794 def update!(**args) @bounding_box_mean_average_precision = args[:bounding_box_mean_average_precision] if args.key?(:bounding_box_mean_average_precision) @bounding_box_metrics = args[:bounding_box_metrics] if args.key?(:bounding_box_metrics) @evaluated_bounding_box_count = args[:evaluated_bounding_box_count] if args.key?(:evaluated_bounding_box_count) end |