public sealed class ObjectDetectionConfig : IMessage<ObjectDetectionConfig>, IEquatable<ObjectDetectionConfig>, IDeepCloneable<ObjectDetectionConfig>, IBufferMessage, IMessage
Reference documentation and code samples for the Data Labeling v1beta1 API class ObjectDetectionConfig.
Config for video object detection human labeling task.
Object detection will be conducted on the images extracted from the video,
and those objects will be labeled with bounding boxes.
User need to specify the number of images to be extracted per second as the
extraction frame rate.
[[["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."],[[["The `ObjectDetectionConfig` class is part of the Data Labeling v1beta1 API and is used for configuring video object detection labeling tasks."],["This class facilitates the labeling of objects within images extracted from videos, using bounding boxes for object identification."],["Users can specify the `ExtractionFrameRate` property, determining how many frames per second are extracted from the video for analysis and labeling."],["The `AnnotationSpecSet` property, is required, and is used to specify the annotation spec set resource name."],["This class has undergone multiple beta releases, with the latest being version 2.0.0-beta05, and is implemented through `IMessage`, `IEquatable`, `IDeepCloneable`, and `IBufferMessage` interfaces."]]],[]]
