public sealed class PersonDetectionConfig : IMessage<PersonDetectionConfig>, IEquatable<PersonDetectionConfig>, IDeepCloneable<PersonDetectionConfig>, IBufferMessage, IMessage
Whether to enable person attributes detection, such as cloth color (black,
blue, etc), type (coat, dress, etc), pattern (plain, floral, etc), hair,
etc.
Ignored if 'include_bounding_boxes' is set to false.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07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 document outlines the \u003ccode\u003ePersonDetectionConfig\u003c/code\u003e class, which is used for configuring person detection in video analysis within the Google Cloud Video Intelligence V1 library.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003ePersonDetectionConfig\u003c/code\u003e class implements multiple interfaces, including \u003ccode\u003eIMessage\u003c/code\u003e, \u003ccode\u003eIEquatable\u003c/code\u003e, \u003ccode\u003eIDeepCloneable\u003c/code\u003e, and \u003ccode\u003eIBufferMessage\u003c/code\u003e, ensuring it supports various functionalities for message handling and object comparison.\u003c/p\u003e\n"],["\u003cp\u003eThere are several versions of the \u003ccode\u003ePersonDetectionConfig\u003c/code\u003e class available, with the latest being version 3.4.0 and the current page showcasing version 2.3.0, that have their own corresponding URL addresses.\u003c/p\u003e\n"],["\u003cp\u003eKey properties of \u003ccode\u003ePersonDetectionConfig\u003c/code\u003e include \u003ccode\u003eIncludeAttributes\u003c/code\u003e, \u003ccode\u003eIncludeBoundingBoxes\u003c/code\u003e, and \u003ccode\u003eIncludePoseLandmarks\u003c/code\u003e, which allow users to control the granularity of the person detection output, such as enabling attribute, bounding box, or pose landmark detection.\u003c/p\u003e\n"]]],[],null,[]]
