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 webpage details the `BoundingBoxMetricsEntry` class within the `Google.Cloud.AutoML.V1` namespace, specifically for version 2.3.0 of the API."],["The `BoundingBoxMetricsEntry` class is used to represent bounding box matching model metrics, derived from a single intersection-over-union threshold and varying label match confidence thresholds."],["This class implements several interfaces, including `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage`, and inherits members from the `Object` class."],["Key properties of the `BoundingBoxMetricsEntry` include `ConfidenceMetricsEntries`, which contains metrics for various confidence thresholds, `IouThreshold` which is the intersection-over-union threshold used, and `MeanAveragePrecision`, representing the mean average precision."],["The latest version listed is 3.4.0, and older versions from 2.2.0 to 3.3.0 are also documented here, demonstrating the version history of the package."]]],[]]
