[][src]Struct gcp_client::google::cloud::automl::v1::ImageObjectDetectionEvaluationMetrics

pub struct ImageObjectDetectionEvaluationMetrics {
    pub evaluated_bounding_box_count: i32,
    pub bounding_box_metrics_entries: Vec<BoundingBoxMetricsEntry>,
    pub bounding_box_mean_average_precision: f32,
}

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

Fields

evaluated_bounding_box_count: i32

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

bounding_box_metrics_entries: Vec<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_mean_average_precision: f32

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

Trait Implementations

impl Clone for ImageObjectDetectionEvaluationMetrics[src]

impl Debug for ImageObjectDetectionEvaluationMetrics[src]

impl Default for ImageObjectDetectionEvaluationMetrics[src]

impl Message for ImageObjectDetectionEvaluationMetrics[src]

impl PartialEq<ImageObjectDetectionEvaluationMetrics> for ImageObjectDetectionEvaluationMetrics[src]

impl StructuralPartialEq for ImageObjectDetectionEvaluationMetrics[src]

Auto Trait Implementations

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