使用真实值数据

选择、合并和加载训练数据以进行深度学习

选择标签，更改数据的文件路径，并合并真实值对象。您可以与从事标注工作的同事共享真实值对象，以继续标注和训练。

要与同事共享和审查图像标注，请考虑在图像标注器中创建一个工程。有关详细信息，请参阅Get Started with Team-Based Labeling。

App

图像标注器	为计算机视觉应用标注图像
视频标注器	Label video for computer vision applications

`selectLabelsByGroup`	Select ground truth labels by label group
`selectLabelsByType`	Select ground truth labels by label type
`selectLabelsByName`	Select ground truth labels by label name

`groundTruth`	Ground truth label data
`merge`	Merge two or more ground truth objects (自 R2023b 起)
`pixelLabelDatastore`	Datastore for pixel label data
`boxLabelDatastore`	Datastore for bounding box label data
`changeFilePaths`	Change file paths in ground truth data
`writeVideoScenes`	Write video sequence to video file (自 R2021b 起)
`sceneTimeRanges`	Time ranges of scene labels from ground truth data (自 R2021b 起)
`gatherLabelData`	Gather label data from ground truth (自 R2021a 起)

`objectDetectorTrainingData`	Create training data for an object detector
`pixelLabelTrainingData`	Create training data for semantic segmentation from ground truth
`sceneLabelTrainingData`	Create training data for scene classification from ground truth (自 R2022b 起)
`polyToBlockedImage`	Create labeled `blockedImage` object from set of ROIs (自 R2021b 起)
`merge`	Merge two or more ground truth objects (自 R2023b 起)

`attributeType`	Attribute type enumerations for labeling
`labelType`	Label type enumerations for labeling

Elements of Ground Truth Objects
Understand how to save and pass data using a ground truth data object.
Share and Store Labeled Ground Truth Data
Share and store labeled ground truth data exported from labeling apps.
How Labeler Apps Store Exported Pixel Labels
Learn how the labeling apps store pixel label data.
Training Data for Object Detection and Semantic Segmentation
Create training data for object detection or semantic segmentation using the Image Labeler or Video Labeler.