Class: Google::Cloud::AutoML::V1beta1::ImageObjectDetectionEvaluationMetrics

Inherits:
Object
  • Object
show all
Defined in:
lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb

Overview

Model evaluation metrics for image object detection problems. Evaluates prediction quality of labeled bounding boxes.

Instance Attribute Summary collapse

Instance Attribute Details

#bounding_box_mean_average_precisionFloat

Returns Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

Returns:

  • (Float)

    Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.



108
# File 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 108

class ImageObjectDetectionEvaluationMetrics; end

#bounding_box_metrics_entriesArray<Google::Cloud::AutoML::V1beta1::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.

Returns:

  • (Array<Google::Cloud::AutoML::V1beta1::BoundingBoxMetricsEntry>)

    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 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 108

class ImageObjectDetectionEvaluationMetrics; end

#evaluated_bounding_box_countInteger

Returns Output only. The total number of bounding boxes (i.e. summed over all images) the ground truth used to create this evaluation had.

Returns:

  • (Integer)

    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 'lib/google/cloud/automl/v1beta1/doc/google/cloud/automl/v1beta1/detection.rb', line 108

class ImageObjectDetectionEvaluationMetrics; end