index.rst

Ground Truth

Amazon SageMaker Ground Truth is a fully managed data labeling service that makes it easy to build highly accurate training datasets for machine learning.

Get started with Ground Truth

This video shows you how to setup and use Amazon SageMaker Ground Truth. (Length: 9:37)

End-to-end demo: from unlabeled data to a deployed ML model

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   :maxdepth: 1

   ../ground_truth_labeling_jobs/from_unlabeled_data_to_deployed_machine_learning_model_ground_truth_demo_image_classification/from_unlabeled_data_to_deployed_machine_learning_model_ground_truth_demo_image_classification

Task types

3D point clouds

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   ../ground_truth_labeling_jobs/3d_point_cloud_demo/create-3D-pointcloud-labeling-job
   ../ground_truth_labeling_jobs/3d_point_cloud_input_data_processing/3D-point-cloud-input-data-processing

Annotation consolidation

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   ../ground_truth_labeling_jobs/annotation_consolidation/ACSBlogPost

Object detection

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   ../ground_truth_labeling_jobs/ground_truth_object_detection_tutorial/object_detection_tutorial

Pretrained model labeling

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   ../ground_truth_labeling_jobs/pretrained_model/pretrained_model_labeling_tutorial

Bring your own model

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   ../ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning

Analysis tasks

Data analysis of image classification

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   ../ground_truth_labeling_jobs/data_analysis_of_ground_truth_image_classification_output/data_analysis_of_ground_truth_image_classification_output