public sealed class ImageObjectDetectionEvaluationMetrics : IMessage<ImageObjectDetectionEvaluationMetrics>, IEquatable<ImageObjectDetectionEvaluationMetrics>, IDeepCloneable<ImageObjectDetectionEvaluationMetrics>, IBufferMessage, IMessage
Reference documentation and code samples for the Google AutoML v1 API class ImageObjectDetectionEvaluationMetrics.
Model evaluation metrics for image object detection problems.
Evaluates prediction quality of labeled bounding boxes.
public RepeatedField<BoundingBoxMetricsEntry> BoundingBoxMetricsEntries { get; }
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThis page provides documentation for the \u003ccode\u003eImageObjectDetectionEvaluationMetrics\u003c/code\u003e class within the Google AutoML v1 API for .NET, which is used for evaluating the quality of predictions in image object detection models.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eImageObjectDetectionEvaluationMetrics\u003c/code\u003e class implements several interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, and inherits from \u003ccode\u003eObject\u003c/code\u003e.\u003c/p\u003e\n"],["\u003cp\u003eThe class includes properties like \u003ccode\u003eBoundingBoxMeanAveragePrecision\u003c/code\u003e, \u003ccode\u003eBoundingBoxMetricsEntries\u003c/code\u003e, and \u003ccode\u003eEvaluatedBoundingBoxCount\u003c/code\u003e, which provide key metrics for assessing model performance.\u003c/p\u003e\n"],["\u003cp\u003eThis documentation covers multiple versions of the API, including the latest version (3.4.0) and several earlier releases down to 2.2.0, each with links to its respective documentation.\u003c/p\u003e\n"],["\u003cp\u003eThe class also has two constructors, one default, and one that takes in an instance of \u003ccode\u003eImageObjectDetectionEvaluationMetrics\u003c/code\u003e.\u003c/p\u003e\n"]]],[],null,[]]
