Class: Google::Cloud::AutoML::V1::ImageObjectDetectionEvaluationMetrics
- Inherits:
-
Object
- Object
- Google::Cloud::AutoML::V1::ImageObjectDetectionEvaluationMetrics
- Extended by:
- Protobuf::MessageExts::ClassMethods
- Includes:
- Protobuf::MessageExts
- Defined in:
- proto_docs/google/cloud/automl/v1/detection.rb
Overview
Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.
Instance Attribute Summary collapse
-
#bounding_box_mean_average_precision ⇒ ::Float
Output only.
-
#bounding_box_metrics_entries ⇒ ::Array<::Google::Cloud::AutoML::V1::BoundingBoxMetricsEntry>
Output only.
-
#evaluated_bounding_box_count ⇒ ::Integer
Output only.
Instance Attribute Details
#bounding_box_mean_average_precision ⇒ ::Float
Returns Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.
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# File 'proto_docs/google/cloud/automl/v1/detection.rb', line 90 class ImageObjectDetectionEvaluationMetrics include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#bounding_box_metrics_entries ⇒ ::Array<::Google::Cloud::AutoML::V1::BoundingBoxMetricsEntry>
Returns Output only. 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.
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# File 'proto_docs/google/cloud/automl/v1/detection.rb', line 90 class ImageObjectDetectionEvaluationMetrics include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |
#evaluated_bounding_box_count ⇒ ::Integer
Returns Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.
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# File 'proto_docs/google/cloud/automl/v1/detection.rb', line 90 class ImageObjectDetectionEvaluationMetrics include ::Google::Protobuf::MessageExts extend ::Google::Protobuf::MessageExts::ClassMethods end |