The input data are the data objects that you send to your workforce to be labeled. There are two ways to send data objects to Ground Truth for labeling:
-
Send a list of data objects that require labeling using an input manifest file.
-
Send individual data objects in real time to a perpetually running, streaming labeling job.
If you have a dataset that needs to be labeled one time, and you do not require an ongoing labeling job, create a standard labeling job using an input manifest file.
If you want to regularly send new data objects to your labeling job after it has started, create a streaming labeling job. When you create a streaming labeling job, you can optionally use an input manifest file to specify a group of data that you want labeled immediately when the job starts. You can continuously send new data objects to a streaming labeling job as long as it is active.
Note
Streaming labeling jobs are only supported through the SageMaker API. You cannot create a streaming labeling job using the SageMaker AI console.
The following task types have special input data requirements and options:
-
For 3D point cloud labeling job input data requirements, see 3D Point Cloud Input Data.
-
For video frame labeling job input data requirements, see Video Frame Input Data.
Topics
