Cloud AutoML V1 API - Class Google::Cloud::AutoML::V1::ImageObjectDetectionEvaluationMetrics (v0.8.0)

Reference documentation and code samples for the Cloud AutoML V1 API class Google::Cloud::AutoML::V1::ImageObjectDetectionEvaluationMetrics.

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

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#bounding_box_mean_average_precision

def bounding_box_mean_average_precision() -> ::Float
Returns
  • (::Float) — Output only. The single metric for bounding boxes evaluation: the mean_average_precision averaged over all bounding_box_metrics_entries.

#bounding_box_mean_average_precision=

def bounding_box_mean_average_precision=(value) -> ::Float
Parameter
  • value (::Float) — 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.

#bounding_box_metrics_entries

def bounding_box_metrics_entries() -> ::Array<::Google::Cloud::AutoML::V1::BoundingBoxMetricsEntry>
Returns
  • (::Array<::Google::Cloud::AutoML::V1::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.

#bounding_box_metrics_entries=

def bounding_box_metrics_entries=(value) -> ::Array<::Google::Cloud::AutoML::V1::BoundingBoxMetricsEntry>
Parameter
  • value (::Array<::Google::Cloud::AutoML::V1::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.
Returns
  • (::Array<::Google::Cloud::AutoML::V1::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.

#evaluated_bounding_box_count

def evaluated_bounding_box_count() -> ::Integer
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.

#evaluated_bounding_box_count=

def evaluated_bounding_box_count=(value) -> ::Integer
Parameter
  • value (::Integer) — 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.