public sealed class BoundingBoxMetricsEntry : IMessage<BoundingBoxMetricsEntry>, IEquatable<BoundingBoxMetricsEntry>, IDeepCloneable<BoundingBoxMetricsEntry>, IBufferMessage, IMessage
Bounding box matching model metrics for a single intersection-over-union
threshold and multiple label match confidence thresholds.
public RepeatedField<BoundingBoxMetricsEntry.Types.ConfidenceMetricsEntry> ConfidenceMetricsEntries { get; }
Output only. Metrics for each label-match confidence_threshold from
0.05,0.10,...,0.95,0.96,0.97,0.98,0.99. Precision-recall curve is
derived from them.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-03-21 UTC."],[[["This document outlines the `BoundingBoxMetricsEntry` class within the `Google.Cloud.AutoML.V1` namespace, detailing its functionality for bounding box matching model metrics."],["The `BoundingBoxMetricsEntry` class implements interfaces like `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits from `Object`."],["Key properties of the `BoundingBoxMetricsEntry` class include `ConfidenceMetricsEntries` which provides metrics for different label-match confidence thresholds, `IouThreshold` for the intersection-over-union threshold, and `MeanAveragePrecision` for overall model performance."],["The class has two constructors: a default constructor `BoundingBoxMetricsEntry()` and one that takes another `BoundingBoxMetricsEntry` instance as an argument for creating a copy."],["The latest version of this resource is 3.4.0, and many other versions of the package are also available, dating back to version 2.2.0."]]],[]]
