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.