You can use HumanTaskUiArn with the SageMaker RenderUiTemplate API operation to preview the worker UI. You must provide an ARN provided by Ground Truth in the parameter HumanTaskUiArn to specify the worker UI for your task When you create a labeling job using the API operation CreateLabelingJob, Help workers complete your video labeling tasks. Ground Truth provides a worker user interface (UI), tools, and assistive labeling features to
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To learn how to create and manage a private workforce, see Use a Private Workforce. To learn more about vendor workforces, see Managing Vendor Workforces. Use the Amazon Mechanical Turk workforce for video frame labeling jobs. Your own workers, or from a vendor workforce that you select in the AWS Marketplace. You can choose a work team from a private workforce of When you create a video frame labeling job, you need to specify a work team toĬomplete your annotation tasks. A keypoint is a single pointĪssociated with an x, y coordinate in the video frame. With tools to create keypoint annotations. The start and end point of a polygon must be the same. Restrictions on the angles formed between lines. Polygon is connected to the previous point by a line and there are no
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A polygon is a closed shapeĭefined by a series of ordered x, y coordinates. With tools to create polygon annotations. The polyline does not have to beĬlosed (the start point and end point do not have to be the same) and thereĪre no restrictions on the angles formed between lines. Each point added to the polyline isĬonnected to the previous point by a line. With tools to create polyline annotations. A bounding box is aīox that a worker draws around an objects to identify the pixel-location and Provided with tools to create bounding box annotations. The following task types are available for both video object tracking or video
See Create a Labeling Category Configurationįile with Label Category and Frame Attributes. Label category configuration file parameter annotationType. If you are creating a labeling job using the API operation CreateLabelingJob, you specify the task type using the
Returns and defines the task type for your The annotation type determines the type of output data Ground Truth You specify the type of annotation that you want workers to create while working on When you create a video object tracking or video object detection labeling job, You select your workforce type and your work team. When you create a labeling job in the console, you can specify this time limit when Task is available to workers in the TaskTimeLimitInSeconds parameter of When using the SageMaker CreateLabelingJob API operation, set the total time a Go and Ground Truth saves their work every 15 minutes. Workers must keep the worker UI open while working on a task.
We strongly recommend that you create tasks that workers can complete within 12 hours. The maximum time you can set for workers to work on tasks is 7 days. The total amount of time that workers can work on each task when you create a labeling Video and video frame labeling jobs can take workers hours to complete. To learn how to manually create sequence files and an input manifest file, see Create a Video Frame Input Manifest File. To learn more, see Automated Video Frame Input Data Setup. You canĪutomatically create sequence files and an input manifest file using Ground Truth automaticĭata setup. Each sequence is used to create a single worker task. Sequences that you want to include in a single labeling job are identified in an input Ground Truth uses sequence files to identify all images in a single sequence. YouĬan either provide your own sequences of video frames, or have Ground Truth automaticallyĮxtract video frame sequences from your video files. Single sequence is a series of images that have been extracted from a single video. The video frame labeling job uses sequences of video frames.
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